7,831 Data Solutions Architect jobs in the United States
Data Cloud Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Salesforce Ventures-backed, Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud.
We accomplish incredible digital transformation for our customers with incredible people. We've always held true to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers.
About the Role:
The Data Cloud Solutions Architect is a proven technical leader with a demonstrated ability to champion and guide stakeholders to the best possible solution for the data landscape and enterprise architecture involved. A Data Cloud Solutions Architect has deep technical expertise in enterprise data architecture and enables organizations to fully leverage their customer data. As a Solutions Architect, you will own the integrity and strength of the solutions recommended. You'll be acting as a trusted advisor to our clients and a mentor to other Salesforce professionals on our team. You will need a deep understanding of Salesforce Data Cloud, the Salesforce platform, and enterprise architecture. It is equally important to demonstrate top-notch interpersonal skills to communicate your recommended solutions to stakeholders and engage in thought leadership within the community. Your goal is to build trust as a valued partner with our clients to take your visions from concept to successfully implemented solutions.
Duties & Responsibilities:
- Serve as a Subject Matter Expert on Salesforce Data Cloud and related products
- Lead technical discovery workshops to document data landscape and enterprise architecture, integrations/connections, and data ingestion methods
- Design, propose, and implement enterprise-scale solutions to solve clients' business needs and technical requirements
- Spearhead the design, configuration, and refinement of sophisticated data models, ensuring they are scalable, align with existing business processes, and adhere to Salesforce Data Cloud best practices
- Apply advanced knowledge of data ingestion methods, data transformations, calculated insights, identity resolution, reconciliation rules, segmentation and activation, and data modeling
- Write, edit, or advise enhancements to complex SQL in various platforms such as Data Cloud, Marketing Cloud Engagement, Redshift, Snowflake, etc.
- Consult or write code for use with Data Cloud's APIs and other Salesforce APIs
- 3+ years of experience implementing Salesforce Data Cloud or Customer Data Platforms (CDPs)
- Demonstrated expertise in implementing data governance, data security, and regulatory compliance frameworks, including GDPR and CCPA.
- Adept at leading cross-functional technical teams, delivering solution documentation, and facilitating technical workshops.
- Proven ability to work well independently and within a team environment
- Proficient in documenting requirements and solution design deliverables
- Strong background with enterprise-level org architecture and integrations
- Excellent client-facing written and oral communication skills
- Salesforce Certification in Salesforce Data Cloud
- Salesforce Certification(s) preferred in Sales/Service Cloud Platforms
- Competitive salary and performance-based incentives
- Comprehensive benefits package, including health, dental, and vision insurance
- Opportunities for professional development and career growth
- A collaborative and inclusive work environment
- 100% CEO approval on Glassdoor
- Small but mighty team of ~150 Engagers
- Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It
- 100% remote work arrangements
If you're interested, so are we! Send your resume our way, and we'll contact you for an interview.
We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Principal Data Solutions Architect

Posted 1 day ago
Job Viewed
Job Description
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
**TOTAL REWARDS**
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.
Expected salary range of $153,000 to $170,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
**PRIMARY PURPOSE OF POSITION**
The Data Solutions Architect will be responsible for developing and leading the design of robust data architectures that align with business objectives and support data-driven decision-making across the organization. This role is focused on creating scalable, high-performance data solutions that integrate data from multiple sources, ensuring that it is accessible, consistent, and secure. By utilizing modern data technologies and platforms, the Data Solutions Architect will enable data sharing across various business functions and ensure that data is transformed into valuable insights for both operational and strategic purposes. This position will involve working closely with cross-functional teams to understand business requirements, assess existing systems, and design architectures that meet both current and future needs. The Data Solutions Architect will play a key role in driving innovation by introducing best practices in data management, governance, and analytics. They will also contribute to the continuous improvement of data processes, ensuring that the solutions developed are flexible, sustainable, and aligned with the organization's broader technology roadmap. The successful candidate will have a strong technical background, with a deep understanding of cloud-based data platforms, integration technologies, and data governance. They will collaborate with IT, business, and leadership teams to ensure that the data architecture supports business priorities while optimizing performance, security, and cost efficiency. Additionally, this individual will provide mentorship and guidance to junior team members and contribute to the overall evolution of the company's data strategy.
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
+ Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
+ Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
+ Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
+ Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
+ Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
+ Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
+ Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
+ Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
+ Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.
**MINIMUM QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
+ 10+ years of experience in IT, with at least 5 years in data architecture, data engineering, or similar role. Proven expertise in designing and delivering large-scale data solutions.
+ Hands-on experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data components.
+ Extensive expertise in data architecture, including data modeling, ETL pipelines, data lakes, and business intelligence solutions, with proficiency in Big Data technologies (e.g., Hadoop, Spark, Kafka) and both relational and NoSQL databases (e.g., SQL Server, MongoDB), along with a strong understanding of Data Lake, Data Mart, DataMesh, and Data Hub concepts.
+ Proficiency in data modeling for both OLTP and OLAP systems, and familiarity with data formats such as Avro and Parquet.
+ Ability to define enterprise-level data standards and contribute to the selection of appropriate tools.
+ Solid understanding of data governance, data security best practices, and cybersecurity fundamentals in the context of cloud-based and enterprise data systems.
+ Experience in data profiling and data cataloging to ensure high-quality, well-structured data. Ability to maintain up-to-date Data Dictionaries in a disciplined manner.
+ Hands-on experience with data modeling tools such as Erwin, Power Designer, or similar platforms for creating and managing complex data models.
+ Experience in analyzing functional and non-functional business requirements and translating them into technical data requirements.
+ Proven ability to lead cross-functional teams, manage large-scale projects, and collaborate with senior leadership to define and align data strategies with business goals.
+ Excellent communication skills to convey complex technical concepts to both technical and business stakeholders. Strong consulting and negotiation skills with internal teams and external vendors.
**PREFERRED QUALIFICATIONS**
+ Master's Degree
+ Familiarity with data governance best practices, including data privacy laws (e.g., GDPR, CCPA), and the ability to ensure data security through encryption, access controls, and auditability.
+ Expertise in optimizing Azure data solutions for performance, scalability, and cost-efficiency, including performance tuning and troubleshooting complex data systems.
+ Experience with Azure Machine Learning is a plus.
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
Principal Data Solutions Architect

Posted 1 day ago
Job Viewed
Job Description
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
**TOTAL REWARDS**
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.
Expected salary range of $153,000 to $170,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
**PRIMARY PURPOSE OF POSITION**
The Data Solutions Architect will be responsible for developing and leading the design of robust data architectures that align with business objectives and support data-driven decision-making across the organization. This role is focused on creating scalable, high-performance data solutions that integrate data from multiple sources, ensuring that it is accessible, consistent, and secure. By utilizing modern data technologies and platforms, the Data Solutions Architect will enable data sharing across various business functions and ensure that data is transformed into valuable insights for both operational and strategic purposes. This position will involve working closely with cross-functional teams to understand business requirements, assess existing systems, and design architectures that meet both current and future needs. The Data Solutions Architect will play a key role in driving innovation by introducing best practices in data management, governance, and analytics. They will also contribute to the continuous improvement of data processes, ensuring that the solutions developed are flexible, sustainable, and aligned with the organization's broader technology roadmap. The successful candidate will have a strong technical background, with a deep understanding of cloud-based data platforms, integration technologies, and data governance. They will collaborate with IT, business, and leadership teams to ensure that the data architecture supports business priorities while optimizing performance, security, and cost efficiency. Additionally, this individual will provide mentorship and guidance to junior team members and contribute to the overall evolution of the company's data strategy.
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
+ Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
+ Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
+ Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
+ Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
+ Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
+ Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
+ Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
+ Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
+ Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.
**MINIMUM QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
+ 10+ years of experience in IT, with at least 5 years in data architecture, data engineering, or similar role. Proven expertise in designing and delivering large-scale data solutions.
+ Hands-on experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data components.
+ Extensive expertise in data architecture, including data modeling, ETL pipelines, data lakes, and business intelligence solutions, with proficiency in Big Data technologies (e.g., Hadoop, Spark, Kafka) and both relational and NoSQL databases (e.g., SQL Server, MongoDB), along with a strong understanding of Data Lake, Data Mart, DataMesh, and Data Hub concepts.
+ Proficiency in data modeling for both OLTP and OLAP systems, and familiarity with data formats such as Avro and Parquet.
+ Ability to define enterprise-level data standards and contribute to the selection of appropriate tools.
+ Solid understanding of data governance, data security best practices, and cybersecurity fundamentals in the context of cloud-based and enterprise data systems.
+ Experience in data profiling and data cataloging to ensure high-quality, well-structured data. Ability to maintain up-to-date Data Dictionaries in a disciplined manner.
+ Hands-on experience with data modeling tools such as Erwin, Power Designer, or similar platforms for creating and managing complex data models.
+ Experience in analyzing functional and non-functional business requirements and translating them into technical data requirements.
+ Proven ability to lead cross-functional teams, manage large-scale projects, and collaborate with senior leadership to define and align data strategies with business goals.
+ Excellent communication skills to convey complex technical concepts to both technical and business stakeholders. Strong consulting and negotiation skills with internal teams and external vendors.
**PREFERRED QUALIFICATIONS**
+ Master's Degree
+ Familiarity with data governance best practices, including data privacy laws (e.g., GDPR, CCPA), and the ability to ensure data security through encryption, access controls, and auditability.
+ Expertise in optimizing Azure data solutions for performance, scalability, and cost-efficiency, including performance tuning and troubleshooting complex data systems.
+ Experience with Azure Machine Learning is a plus.
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
Principal Data Solutions Architect

Posted 1 day ago
Job Viewed
Job Description
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
**TOTAL REWARDS**
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.
Expected salary range of $153,000 to $170,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
**PRIMARY PURPOSE OF POSITION**
The Data Solutions Architect will be responsible for developing and leading the design of robust data architectures that align with business objectives and support data-driven decision-making across the organization. This role is focused on creating scalable, high-performance data solutions that integrate data from multiple sources, ensuring that it is accessible, consistent, and secure. By utilizing modern data technologies and platforms, the Data Solutions Architect will enable data sharing across various business functions and ensure that data is transformed into valuable insights for both operational and strategic purposes. This position will involve working closely with cross-functional teams to understand business requirements, assess existing systems, and design architectures that meet both current and future needs. The Data Solutions Architect will play a key role in driving innovation by introducing best practices in data management, governance, and analytics. They will also contribute to the continuous improvement of data processes, ensuring that the solutions developed are flexible, sustainable, and aligned with the organization's broader technology roadmap. The successful candidate will have a strong technical background, with a deep understanding of cloud-based data platforms, integration technologies, and data governance. They will collaborate with IT, business, and leadership teams to ensure that the data architecture supports business priorities while optimizing performance, security, and cost efficiency. Additionally, this individual will provide mentorship and guidance to junior team members and contribute to the overall evolution of the company's data strategy.
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
+ Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
+ Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
+ Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
+ Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
+ Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
+ Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
+ Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
+ Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
+ Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.
**MINIMUM QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
+ 10+ years of experience in IT, with at least 5 years in data architecture, data engineering, or similar role. Proven expertise in designing and delivering large-scale data solutions.
+ Hands-on experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data components.
+ Extensive expertise in data architecture, including data modeling, ETL pipelines, data lakes, and business intelligence solutions, with proficiency in Big Data technologies (e.g., Hadoop, Spark, Kafka) and both relational and NoSQL databases (e.g., SQL Server, MongoDB), along with a strong understanding of Data Lake, Data Mart, DataMesh, and Data Hub concepts.
+ Proficiency in data modeling for both OLTP and OLAP systems, and familiarity with data formats such as Avro and Parquet.
+ Ability to define enterprise-level data standards and contribute to the selection of appropriate tools.
+ Solid understanding of data governance, data security best practices, and cybersecurity fundamentals in the context of cloud-based and enterprise data systems.
+ Experience in data profiling and data cataloging to ensure high-quality, well-structured data. Ability to maintain up-to-date Data Dictionaries in a disciplined manner.
+ Hands-on experience with data modeling tools such as Erwin, Power Designer, or similar platforms for creating and managing complex data models.
+ Experience in analyzing functional and non-functional business requirements and translating them into technical data requirements.
+ Proven ability to lead cross-functional teams, manage large-scale projects, and collaborate with senior leadership to define and align data strategies with business goals.
+ Excellent communication skills to convey complex technical concepts to both technical and business stakeholders. Strong consulting and negotiation skills with internal teams and external vendors.
**PREFERRED QUALIFICATIONS**
+ Master's Degree
+ Familiarity with data governance best practices, including data privacy laws (e.g., GDPR, CCPA), and the ability to ensure data security through encryption, access controls, and auditability.
+ Expertise in optimizing Azure data solutions for performance, scalability, and cost-efficiency, including performance tuning and troubleshooting complex data systems.
+ Experience with Azure Machine Learning is a plus.
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
Principal Data Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
**TOTAL REWARDS**
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.
Expected salary range of $153,000 to $170,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
**PRIMARY PURPOSE OF POSITION**
The Data Solutions Architect will be responsible for developing and leading the design of robust data architectures that align with business objectives and support data-driven decision-making across the organization. This role is focused on creating scalable, high-performance data solutions that integrate data from multiple sources, ensuring that it is accessible, consistent, and secure. By utilizing modern data technologies and platforms, the Data Solutions Architect will enable data sharing across various business functions and ensure that data is transformed into valuable insights for both operational and strategic purposes. This position will involve working closely with cross-functional teams to understand business requirements, assess existing systems, and design architectures that meet both current and future needs. The Data Solutions Architect will play a key role in driving innovation by introducing best practices in data management, governance, and analytics. They will also contribute to the continuous improvement of data processes, ensuring that the solutions developed are flexible, sustainable, and aligned with the organization's broader technology roadmap. The successful candidate will have a strong technical background, with a deep understanding of cloud-based data platforms, integration technologies, and data governance. They will collaborate with IT, business, and leadership teams to ensure that the data architecture supports business priorities while optimizing performance, security, and cost efficiency. Additionally, this individual will provide mentorship and guidance to junior team members and contribute to the overall evolution of the company's data strategy.
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
+ Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
+ Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
+ Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
+ Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
+ Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
+ Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
+ Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
+ Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
+ Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.
**MINIMUM QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
+ 10+ years of experience in IT, with at least 5 years in data architecture, data engineering, or similar role. Proven expertise in designing and delivering large-scale data solutions.
+ Hands-on experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data components.
+ Extensive expertise in data architecture, including data modeling, ETL pipelines, data lakes, and business intelligence solutions, with proficiency in Big Data technologies (e.g., Hadoop, Spark, Kafka) and both relational and NoSQL databases (e.g., SQL Server, MongoDB), along with a strong understanding of Data Lake, Data Mart, DataMesh, and Data Hub concepts.
+ Proficiency in data modeling for both OLTP and OLAP systems, and familiarity with data formats such as Avro and Parquet.
+ Ability to define enterprise-level data standards and contribute to the selection of appropriate tools.
+ Solid understanding of data governance, data security best practices, and cybersecurity fundamentals in the context of cloud-based and enterprise data systems.
+ Experience in data profiling and data cataloging to ensure high-quality, well-structured data. Ability to maintain up-to-date Data Dictionaries in a disciplined manner.
+ Hands-on experience with data modeling tools such as Erwin, Power Designer, or similar platforms for creating and managing complex data models.
+ Experience in analyzing functional and non-functional business requirements and translating them into technical data requirements.
+ Proven ability to lead cross-functional teams, manage large-scale projects, and collaborate with senior leadership to define and align data strategies with business goals.
+ Excellent communication skills to convey complex technical concepts to both technical and business stakeholders. Strong consulting and negotiation skills with internal teams and external vendors.
**PREFERRED QUALIFICATIONS**
+ Master's Degree
+ Familiarity with data governance best practices, including data privacy laws (e.g., GDPR, CCPA), and the ability to ensure data security through encryption, access controls, and auditability.
+ Expertise in optimizing Azure data solutions for performance, scalability, and cost-efficiency, including performance tuning and troubleshooting complex data systems.
+ Experience with Azure Machine Learning is a plus.
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
Principal Data Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
**TOTAL REWARDS**
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.
Expected salary range of $153,000 to $170,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
**PRIMARY PURPOSE OF POSITION**
The Data Solutions Architect will be responsible for developing and leading the design of robust data architectures that align with business objectives and support data-driven decision-making across the organization. This role is focused on creating scalable, high-performance data solutions that integrate data from multiple sources, ensuring that it is accessible, consistent, and secure. By utilizing modern data technologies and platforms, the Data Solutions Architect will enable data sharing across various business functions and ensure that data is transformed into valuable insights for both operational and strategic purposes. This position will involve working closely with cross-functional teams to understand business requirements, assess existing systems, and design architectures that meet both current and future needs. The Data Solutions Architect will play a key role in driving innovation by introducing best practices in data management, governance, and analytics. They will also contribute to the continuous improvement of data processes, ensuring that the solutions developed are flexible, sustainable, and aligned with the organization's broader technology roadmap. The successful candidate will have a strong technical background, with a deep understanding of cloud-based data platforms, integration technologies, and data governance. They will collaborate with IT, business, and leadership teams to ensure that the data architecture supports business priorities while optimizing performance, security, and cost efficiency. Additionally, this individual will provide mentorship and guidance to junior team members and contribute to the overall evolution of the company's data strategy.
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
+ Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
+ Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
+ Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
+ Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
+ Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
+ Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
+ Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
+ Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
+ Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.
**MINIMUM QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
+ 10+ years of experience in IT, with at least 5 years in data architecture, data engineering, or similar role. Proven expertise in designing and delivering large-scale data solutions.
+ Hands-on experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data components.
+ Extensive expertise in data architecture, including data modeling, ETL pipelines, data lakes, and business intelligence solutions, with proficiency in Big Data technologies (e.g., Hadoop, Spark, Kafka) and both relational and NoSQL databases (e.g., SQL Server, MongoDB), along with a strong understanding of Data Lake, Data Mart, DataMesh, and Data Hub concepts.
+ Proficiency in data modeling for both OLTP and OLAP systems, and familiarity with data formats such as Avro and Parquet.
+ Ability to define enterprise-level data standards and contribute to the selection of appropriate tools.
+ Solid understanding of data governance, data security best practices, and cybersecurity fundamentals in the context of cloud-based and enterprise data systems.
+ Experience in data profiling and data cataloging to ensure high-quality, well-structured data. Ability to maintain up-to-date Data Dictionaries in a disciplined manner.
+ Hands-on experience with data modeling tools such as Erwin, Power Designer, or similar platforms for creating and managing complex data models.
+ Experience in analyzing functional and non-functional business requirements and translating them into technical data requirements.
+ Proven ability to lead cross-functional teams, manage large-scale projects, and collaborate with senior leadership to define and align data strategies with business goals.
+ Excellent communication skills to convey complex technical concepts to both technical and business stakeholders. Strong consulting and negotiation skills with internal teams and external vendors.
**PREFERRED QUALIFICATIONS**
+ Master's Degree
+ Familiarity with data governance best practices, including data privacy laws (e.g., GDPR, CCPA), and the ability to ensure data security through encryption, access controls, and auditability.
+ Expertise in optimizing Azure data solutions for performance, scalability, and cost-efficiency, including performance tuning and troubleshooting complex data systems.
+ Experience with Azure Machine Learning is a plus.
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
Senior Data Solutions Architect
Posted today
Job Viewed
Job Description
Job Description
">This role is designed to collaborate with teams to drive data management and database solutions.
">The successful candidate will have experience in database engineering, administration, and management.
">They must be able to create, update, and manage databases and the code that interacts with them.
">The ideal candidate will possess a strong understanding of database principles, theories, and concepts related to software engineering.
">Additionally, they should have critical thinking skills and the ability to communicate complex ideas effectively.
">Required Skills and Qualifications
">- ">
- A degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of Database Engineering experience. ">
- Experience as a Database Administrator (DBA) and Database Engineer (DBE) ">
- Experience with Relational Database Management Systems (RDBMS) solutions, such as Oracle, Postgres, or related systems. ">
- Experience working with Systems and Software Engineers to implement, and modify backend databases to interact with applications within a development environment. ">
- Experience virtualizing or containerizing databases. ">
- Experience using Linux command line to perform database administration activities. ">
- Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain a TS/SCI prior to start date. U.S. Citizenship is required as only U.S. Citizens are eligible for a clearance. ">
Benefits
">- ">
- A total rewards package that includes compensation, healthcare, wellness, retirement, and work/life benefits. ">
- Career development and recognition programs. ">
- Relocation assistance is available. ">
- A comprehensive set of employee benefits including parental leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care. ">
Keyword: DatabaseEngineer
">The salary range for this role is $82,000 - $164,000 USD. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
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Data Analytics Data Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution.
Specific responsibilities include but are not limited to:
- Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment.
- Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making.
- Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data.
- Ensure data quality and integrity through best practices in data management and governance.
- Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment.
- Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth.
- Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies.
- Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention.
- Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements.
- Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies.
- Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance.
- Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML).
- Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery.
- Participate in presales engagements to manage the vision and expectations of a client's multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team.
- Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client.
- Lead and provide technical guidance and mentorship to other team members.
- Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment.
- Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation.
- Document, diagram, and present complex/technical material that can be understood by a non-technical audience.
- Create and deploy accurate client architecture and analyses in a relatively short period of time.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required.
- Advanced degree (Master's/Ph.D.) is preferred.
- Experience working in or consulting for financial services.
- In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements.
- At least 7-10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired.
- Proven track record in managing complex data projects and leading cross-functional teams.
- Experience in working with large datasets, data warehousing, and advanced analytics tools.
- 8+ years of hands-on experience in enterprise data warehouse and data lake implementations
- 5+ years of external client consulting experience
- 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
- 5+ years of team management experience (including offshore resources)
- 5+ years of experience leading multiple external client projects simultaneously
- 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities
- 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics
- Experience mentoring teammates or conducting technical training
- Possess integrity and a strong work ethic
- Strong analytical and verbal/written communication skills
Certifications (Preferred)
- Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected
- Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner).
Preferred Skills and Experience
- Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including:
- requirements gathering
- infrastructure planning and deployment
- subject matter expert interviews
- logical and physical dimensional model design and development
- ETL/ELT development and maintenance
- model and data validation
- documentation
- Previous consulting experience or experience working with external clients
- Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
- Familiarity with machine learning frameworks and cloud-based data platforms is advantageous
- Experience working on projects using agile development practices
- Azure experience: building landing zones, provisioning resources, establishing security is a big plus
Key Stakeholders This Role Interacts With:
Internal
- Senior BI Analyst
- Data Product Manager
- BI Architect / Senior Architect
- Data Engineers
- Analytics Developers (Power BI, Tableau)
External
- C-Suite Executives (CEO, CFO, CIO, etc.)
- Clients Operations Leads and Mid-Level Managers
- Data Owners, Data Stewards
- Enterprise Information Management and Data Governance Team
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe ( is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.
Data Analytics Data Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution.
Specific responsibilities include but are not limited to:
- Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment.
- Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making.
- Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data.
- Ensure data quality and integrity through best practices in data management and governance.
- Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment.
- Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth.
- Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies.
- Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention.
- Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements.
- Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies.
- Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance.
- Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML).
- Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery.
- Participate in presales engagements to manage the vision and expectations of a client's multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team.
- Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client.
- Lead and provide technical guidance and mentorship to other team members.
- Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment.
- Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation.
- Document, diagram, and present complex/technical material that can be understood by a non-technical audience.
- Create and deploy accurate client architecture and analyses in a relatively short period of time.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required.
- Advanced degree (Master's/Ph.D.) is preferred.
- Experience working in or consulting for financial services.
- In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements.
- At least 7-10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired.
- Proven track record in managing complex data projects and leading cross-functional teams.
- Experience in working with large datasets, data warehousing, and advanced analytics tools.
- 8+ years of hands-on experience in enterprise data warehouse and data lake implementations
- 5+ years of external client consulting experience
- 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
- 5+ years of team management experience (including offshore resources)
- 5+ years of experience leading multiple external client projects simultaneously
- 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities
- 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics
- Experience mentoring teammates or conducting technical training
- Possess integrity and a strong work ethic
- Strong analytical and verbal/written communication skills
Certifications (Preferred)
- Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected
- Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner).
Preferred Skills and Experience
- Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including:
- requirements gathering
- infrastructure planning and deployment
- subject matter expert interviews
- logical and physical dimensional model design and development
- ETL/ELT development and maintenance
- model and data validation
- documentation
- Previous consulting experience or experience working with external clients
- Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
- Familiarity with machine learning frameworks and cloud-based data platforms is advantageous
- Experience working on projects using agile development practices
- Azure experience: building landing zones, provisioning resources, establishing security is a big plus
Key Stakeholders This Role Interacts With:
Internal
- Senior BI Analyst
- Data Product Manager
- BI Architect / Senior Architect
- Data Engineers
- Analytics Developers (Power BI, Tableau)
External
- C-Suite Executives (CEO, CFO, CIO, etc.)
- Clients Operations Leads and Mid-Level Managers
- Data Owners, Data Stewards
- Enterprise Information Management and Data Governance Team
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe ( is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.
Staff Solutions Architect, Data Solutions
Posted today
Job Viewed
Job Description
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
ResponsibilitiesThis role will support the Solution Engineering leader in driving strategic alignment, standardization and operational excellence for Solution delivery. A force multiplier, enabling the Solutions/Eng. leadership, and working closely with xFN partners will build a Solutions toolset and stitch Verily's platform and product capabilities in valuable Solutions that address customer needs.
- Pre-sales Solutions Consulting: The role involves ensuring smooth, on-time delivery of solutions by aligning various Verily teams, specifically the xFN teams. This includes providing pre-sales support for closing deals, responding to RFPs, managing dependencies, and acting as a liaison between product engineering and solutions teams to ensure architectural alignment. The person in this role also helps with sales-related materials and tracking solution deployment status.
- Driving Standardization and Repeatability: A key function is to develop common, reusable solutions and services to drive repeatability and reduce custom efforts. This involves creating a central repository for solutions, components, and best practices, as well as developing standardized playbooks and reference architectures. The goal is to significantly reduce the time required to onboard new customers.
- Operational Management and Efficiency: The role is responsible for improving business processes and operational efficiency. This includes managing the intake process for new solution requests, establishing clear requirements, and aligning stakeholders. A central part of this is designing and managing a prioritization framework to effectively allocate resources based on strategic priorities.
- Solution Lifecycle Management: The role provides architecture and technical expertise to the entire lifecycle of a solution, from initial commitment through ongoing customer support. This includes participating in contract and legal reviews, and ensuring that all ongoing commitments and service level agreements (SLAs) to customers are met.
Minimum Qualifications
- Bachelor's degree in computer or data science, engineering, and or life science field with 10+ years of experience in developing technologies in HCLS.
- Demonstrated success in engaging with customers to understand their needs, plan strategic initiatives, and deliver outcomes that exceed their expectations.
- Proven track record in solution architecture, and delivery, planning and stakeholder management. Experience building and deploying scalable solutions on cloud computing platforms such as GCP or AWS.
- Proven experience designing and implementing AI/ML solutions, including model development, training, and deployment, with a deep understanding of frameworks such as TensorFlow, PyTorch, or similar.
Preferred Qualifications
- Exceptional communication, presentation, and interpersonal skills, capable of influencing diverse stakeholders across technical, and commercial functions.
- Demonstrated ability to thrive in a fast-paced, ambiguous, and rapidly changing startup environment.
- A breadth of experience with creating actionable insights from diverse health data modalities: omics, biomarkers, diagnostics, imaging, claims, SDOH, etc. and familiarity with collection methods and provenance.
- Education or exposure to healthcare or life sciences, with emphasis on healthcare data and interoperability standards.
This role is eligible for Verily-sponsored immigration support. The US base salary range for this full-time position is $208,000 - $276,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.