3,060 Google Cloud Platform jobs in the United States

LightFeather is seeking a Cloud Engineer - GCP who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location : In-Person (5 days/week) in Washington, DC
• Job Type : Full Time
• Citizenship : U.S. Citizenship Required
• Clearance Requirement : Willing to obtain a security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

The Opportunity:
Everyone is trying to "harness the cloud," but not everyone knows how. As a GCP Cloud Computing Engineer, you know how to take advantage of cloud capabilities. On our team of experienced professionals, you'll use cutting-edge enterprise cloud platforms to support health clients as they use the cloud to meet new computing challenges and modernize their existing infrastructure.

You'll closely collaborate with fellow Cloud Engineers and Architects specializing in GCP to design, define, develop, test, and debug cloud solution components. You'll partner with stakeholders and your team to deliver the right technical solutions. Whether modernizing legacy computing platforms and applications or creating new ones from scratch, you'll have the latest tech and brightest teammates at your fingertips.

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

• 5+ years of experience working with cloud technologies
• 4+ years of experience in cloud applications and managing infrastructure in an enterprise environment
• Experience working with applications or resources in Google Cloud
• Knowledge of networking, storage, computer, and database fundamentals
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

Nice If You Have:

• Experience with Software Development Lifecycles and Agile best practices
• Experience managing Containers or Virtual Machines
• Experience using Git, GitHub, GitLab, Harness, or Jenkins
• Experience with scripting tools such as Bash, PowerShell, JSON, and Python
• Knowledge of IAC tools such as Terraform
• Google Cloud Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

The Opportunity:
Everyone is trying to "harness the cloud," but not everyone knows how. As a GCP Cloud Computing Engineer, you know how to take advantage of cloud capabilities. On our team of experienced professionals, you'll use cutting-edge enterprise cloud platforms to support health clients as they use the cloud to meet new computing challenges and modernize their existing infrastructure.

You'll closely collaborate with fellow Cloud Engineers and Architects specializing in GCP to design, define, develop, test, and debug cloud solution components. You'll partner with stakeholders and your team to deliver the right technical solutions. Whether modernizing legacy computing platforms and applications or creating new ones from scratch, you'll have the latest tech and brightest teammates at your fingertips.

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

• 8+ years of experience working with cloud technologies

• 6+ years of experience in cloud applications and managing infrastructure in an enterprise environment

• Experience working with applications or resources in Google Cloud

• Knowledge of networking, storage, computer, and database fundamentals

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree

Nice If You Have:

• Experience with Software Development Lifecycles and Agile best practices

• Experience managing Containers or Virtual Machines

• Experience using Git, GitHub, GitLab, Harness, or Jenkins

• Experience with scripting tools such as Bash, PowerShell, JSON, and Python

• Knowledge of IAC tools such as Terraform

• Google Cloud Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Title:
Senior Google Cloud Platform Engineer

Company:
Everest Global Services, Inc.

Job Category:
Technology

Job Description:

About the Role:
We are looking for a Senior Google Cloud Engineer with deep expertise in cloud architecture, Kubernetes, and modern engineering practices to help lead the expansion of our Google Cloud Platform (GCP) environment. This role blends strong engineering discipline with a focus on building scalable, secure, and reliable infrastructure - with an awareness of how platforms operate and support mission-critical workloads. The ideal candidate brings a mindset rooted in reliability, automation, and governance, and is comfortable driving cloud initiatives in partnership with development, security, and platform teams.

Key Responsibilities:

• Design and build foundational GCP infrastructure aligned with security, scalability, and availability best practices.
  

• Lead Kubernetes (GKE) architecture and engineering, including workload orchestration, cluster design, and service networking.
  

• Implement GCP governance frameworks, including IAM policies, org policy constraints, resource hierarchy, and network segmentation.
  

• Partner with data engineering teams to build secure, performant BigQuery environments for analytics and reporting use cases.
  

• Advocate for SRE principles across engineering teams: observability, fault tolerance, error budgets, and reliability automation.
  

• Develop infrastructure-as-code solutions using Terraform, integrated into Git-based CI/CD workflows.
  

• Contribute to the creation of reusable deployment patterns, modules, and onboarding workflows for GCP services.
  

• Drive security and compliance controls by working with security architects on cloud-native enforcement mechanisms.
  

• Influence cost optimization, tagging, and usage insights to align infrastructure with business value.
  

• 5+ years of experience in cloud engineering roles, with 3+ years of hands-on work in GCP environments
  

• Advanced experience with Kubernetes (GKE preferred) and containerized workload architecture.
  

• Deep knowledge of GCP services including BigQuery, Cloud Run, Pub/Sub, VPC, IAM, and Monitoring.
  

• Experience implementing infrastructure-as-code with Terraform and working with DevOps pipelines.
  

• Experience working across security, architecture, and platform engineering domains.
  

• Strong scripting proficiency (Python, Bash, etc.)
  

• Excellent communication skills and ability to influence technical direction across teams.
  

• GCP Professional certifications (Cloud Architect, DevOps Engineer, etc.)
  

• Familiarity with policy-as-code, service mesh, or workload identity federation
  

• Understanding of enterprise connectivity models (hybrid cloud, DNS, VPNs)
  

• Awareness of FinOps and cloud resource governance strategies
  

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

We are seeking a Google Cloud Platform (GCP)/AI specialist with experience using Google AI tools like Gemini, Agentspace, Contact Center AI (CCAI), and Code Assist. The specialist will be responsible for designing, developing, deploying, and managing sophisticated AI solutions on Google Cloud. This role requires a strong foundation in GCP services coupled with deep expertise in leveraging Google's cutting-edge AI technologies to solve complex business problems and drive innovation.

Fully Remote, International Applicants Welcome

Key Responsibilities

- Designing AI-powered Solutions on GCP: Architecting scalable, secure, and cost-effective solutions that integrate Gemini for multimodal understanding and generation, Agentspace for enterprise AI agent orchestration, CCAI for enhancing customer service experiences, and Code Assist for accelerating software development.

- Developing and Deploying AI Models: Building, training, fine-tuning, and deploying custom AI models using Vertex AI (which often underpins access to models like Gemini). This includes managing the entire MLOps lifecycle.

- Prompt Engineering and Optimization: Crafting and refining effective prompts to guide GenAI models to produce desired outputs and continuously improving model performance and quality.

- Integrating Google AI Tools: Seamlessly integrating tools like Gemini APIs, Agentspace components, CCAI functionalities (Dialogflow CX, Agent Assist), and Code Assist into new or existing applications and business processes.

- Experience with Large Language Models (LLMs): In-depth knowledge of LLM architecture, training, fine-tuning, and evaluation. Experience with models like Gemini is a significant plus.

- Leveraging Gemini's Capabilities: Utilizing Gemini's advanced multimodal capabilities (text, image, audio, video, code) to build innovative applications, perform complex reasoning tasks, and generate creative content within GCP solutions.

- Implementing Agentspace Solutions: Designing and deploying AI agents within the Agentspace framework to automate tasks, streamline workflows, and facilitate enterprise-wide knowledge discovery and collaboration.

- Optimizing Contact Center Operations with CCAI: Implementing and customizing CCAI solutions to build intelligent virtual agents, provide real-time assistance to human agents, and derive insights from customer interactions to improve service quality.

- Enhancing Developer Productivity with Code Assist: Implementing and promoting the use of Code Assist (often part of Duet AI for Developers or specific IDE integrations) to help development teams write code faster, improve code quality, and understand complex codebases.

- Data Management and Processing: Managing and processing large datasets on GCP using tools like BigQuery, Google Cloud Storage, and Dataflow, ensuring data is prepared and available for AI model training and inference.

- Ensuring Security and Compliance: Implementing security best practices and ensuring compliance with relevant regulations for AI solutions deployed on GCP.

- Providing Technical Expertise and Consultation: Acting as a subject matter expert for internal teams or external clients on Google Cloud AI tools and their applications. This can involve workshops, demonstrations, and troubleshooting.

- Staying Updated: Continuously learning and staying current with the latest advancements in Google Cloud AI services, including new features and capabilities of Gemini, Agentspace, CCAI, and Code Assist.

- Research and Innovation: Pushing the boundaries of AI through research, exploring new algorithms, techniques, and applications. This is particularly prominent in roles at Google DeepMind and Google Research.

Essential Skills and Qualifications

- Strong Google Cloud Platform (GCP) Expertise: Profound knowledge of core GCP services (e.g., Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI). GCP certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer) are highly desirable.

- Deep Understanding of AI/ML Concepts: Solid grasp of machine learning algorithms, deep learning, natural language processing (NLP), computer vision, generative AI principles, and MLOps practices.

- Hands-on Experience with Google AI Tools:

- Gemini: Practical experience using Gemini models (via Vertex AI or Gemini API) for tasks like content generation, summarization, multimodal understanding, and function calling.

- Agentspace: Familiarity with the concepts and (as it becomes more widely available) practical experience in building or integrating with AI agents within an enterprise context.

- Contact Center AI (CCAI): Proven experience with Dialogflow CX for building virtual agents, Agent Assist for supporting human agents, and CCAI Insights for analytics.

- Code Assist: Experience utilizing AI-powered code completion, generation, and explanation tools within development workflows.

- Programming Proficiency: Strong coding skills in languages like Python (most common for AI/ML), and familiarity with relevant libraries and SDKs for GCP and AI tools.

- API Integration Skills: Experience in integrating various APIs, especially Google Cloud APIs and AI service APIs.

- Data Engineering Skills: Ability to design data pipelines, work with databases, and handle large datasets for AI applications.

- Problem-Solving and Analytical Skills: Ability to analyze complex requirements and translate them into effective AI-driven solutions on GCP.

- Communication and Collaboration: Excellent communication skills to articulate technical concepts to diverse audiences and collaborate effectively with cross-functional teams.

The next step of the interview process:

At CVS Health, we are passionate about transforming healthcare and building a world of health around every consumer. As a leading health solutions provider, we reach millions of Americans through various channels and our dedicated team of 300,000 colleagues. We care for people where, when, and how they choose, all while delivering compassionate service.

CVS Health Digital is seeking an experienced and motivated Senior Data Engineer - GCP to join our engineering team. You will play a critical role in developing top-notch experiences, collaborating with business stakeholders to prioritize and shape complex enterprise initiatives. This position requires building efficient and scalable data pipelines on Google Cloud Platform (GCP) while bringing your advanced technical skills to the forefront.

Responsibilities:

• Design, develop, and optimize data pipelines on GCP using tools such as BigQuery, Dataflow, and Pub/Sub.
• Build and maintain microservices for data processing and analytics.
• Develop real-time and batch data ingestion frameworks using Kafka.
• Utilize NoSQL databases (e.g., Firestore, Cassandra, MongoDB) for high-throughput data applications.
• Ensure data integrity, governance, and security best practices are maintained throughout data pipelines.
• Optimize the performance, scalability, and cost efficiency of data solutions.
• Work collaboratively with data scientists, analysts, and software engineers to deliver comprehensive data products.
• Implement monitoring, logging, and alerting for data pipelines and services.
• Engage in agile development practices, including project planning and driving project success.
• Explore new tools and frameworks to enhance digital solutions and promote innovation within the team.
• Create and maintain technical documentation, ensuring effective knowledge transfer and collaboration among team members.

Required Qualifications:

• 5+ years of experience in large-scale software development, including 2+ years in a technical lead role.
• 5+ years of data engineering experience, particularly with microservices-based data solutions.
• 5+ years in designing and developing highly scalable Microservices, Webservices, and REST APIs.
• 3+ years of hands-on experience with GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• 3+ years involved with containerization (Docker, Kubernetes) and CI/CD for data pipelines.
• 3+ years of experience working in an agile development environment.

Preferred Qualifications:

• Experience in a Test-Driven Development (TDD) environment.
• Proficiency in Python or Java for data processing.
• Familiarity with monitoring and logging tools like Prometheus, Stackdriver, or ELK.
• Understanding of distributed computing and data partitioning strategies.
• Strong problem-solving abilities with a knack for agile methodologies.
• Experience with Terraform or Infrastructure as Code (IaC).
• Knowledge of machine learning pipelines and their integration into data engineering workflows.
• Experience with performance tuning and cost optimization in cloud environments.
• Familiarity with new SQL databases is a plus.

This role is based in CVS Health and our team reflects the diverse communities we serve. We take pride in our commitment to creating a workplace where every colleague feels valued and supported.

For more information about our benefits and inclusive culture, please refer to our company website. We are an equal opportunity employer and follow all applicable federal, state, and local laws regarding recruitment and hiring practices.

We are looking forward to your application!

Job Description

On a typical day, you will support and maintain our Google Cloud Platform (GCP) environments, assisting with the deployment and management of virtual machines and cloud resources. You will work on automation and development tasks, often using Python scripting, and help manage data operations involving SQL and BigQuery. Your role will involve collaborating with team members to resolve cloud-related issues, contributing to ongoing cloud projects, and ensuring the security and compliance of our systems. You will also participate in process improvements and may occasionally interact with Atlassian tools as an end user, all while working remotely and aligning your schedule with Pacific Time hours.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Skills and Requirements

• Hands-on experience with Google Cloud Platform (GCP).

• Linux administration skills.

• Python scripting skills.

• Automation support experience.

• Experience with VMs, SQL, and BigQuery.

• Familiarity with Atlassian products as an end user. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Location:

"This position is not eligible for employment visa sponsorship"

This role is a hybrid position with an onsite expectation in one of our locations.

ABOUT THE JOB

TheAnalytics Enablement team, part of the Enterprise Data & Analytics Services , is on a mission to transform KeyBank into an innovative, insights-driven enterprise. We empower decision-makers across the organization by supporting modern analytics tools, delivering robust training, managing metadata, and deploying next-generation analytics capabilities.

As aGCP Tools Senior Analyst , you will play a pivotal role in supporting and advancing our analytics and advanced analytics functions to align with organizational goals. You will provide technical support, training, and innovation leadership; Especially around open-source andGoogle Cloud Platform (GCP) technologies. This role is ideal for someone passionate about enabling data-driven decision-making and building scalable, modern analytics infrastructure.

ESSENTIAL JOB FUNCTIONS

• Collaborate with cross-functional teams to support and enhance analytics and advanced analytics technologies, with a focus on open-source and GCP-based solutions.
• Provide technical support and training to end-users on open-source tools and platforms.
• Design and implement GCP-based infrastructure to support analytics and modeling teams.
• Evaluate and integrate innovative technologies to enhance enterprise analytics capabilities.
• Partner with data scientists, solution architects, cloud engineers and business teams to design ML infrastructure, validate data quality.
• Ensure tight integration with BI data engineers, data architects, and ETL developers to support end-to-end analytics workflows.
• Guide analytics teams in selecting and integrating appropriate tools and methods for advanced modeling and decision support.
• Maintain a strong focus on Organizational Change Management to ensure stakeholders are appropriately engaged and empowered through communications, training, and collaboration.

REQUIRED QUALIFICATIONS

• Advanced degree in Computer Science, Decision Science, or equivalent experience.
• 5 years of experience in advanced analytics, data science, or open-source computing infrastructure.
• 4 years of hands-on experience with Google Cloud Platform (GCP) architecture and services.
• Minimum 3 years of experience designing solutions for analytics or advanced modeling teams.

Technical Skills

• A broad, enterprise-wide view of the business and strong mind for building strategy, streamlining processes and enabling analytics capabilities and governance
• Strong experience applying architectural principles to business challenges and create technical roadmaps and requirements documentation
• Proven track record for recognizing pain points within the organization, functional interdependencies and cross-silo redundancies
• Ability to understand and recognize the economics of analytics technology and the business goals
• Mastery of Python and data science libraries and best practices.
• Strong experience with GCP data warehousing and processing technologies such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Experience with GCP storage solutions such as Cloud Storage and BigLake, and data formats like Parquet, JSON, ORC, Avro.
• Proficiency in databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL.
• Experience with SparkSQL, Spark MLlib, and third-party machine learning algorithms such as XGBoost and LightGBM using PySpark.
• Familiarity with SAS and Linux/Unix environments.
• Understanding of web technologies and modern data architecture.
• Knowledge of advanced technologies, including machine learning, NLP, and streaming analytics.

Soft Skills

• Experience operating in Scrum Project Management and traditional project management, able to adjust plans as needed and escalate / manage risks in a timely manner
• Comfortable multi-tasking, highly flexible, and highly motivated to provide stellar customer service and support
• Exceptional communication skills and the ability to interact, collaborate, and present to all levels of the organization
• Ability to curate training roadmaps that empower analysts with the proper skills to advance the organization's goals and create / maintain appropriate instructional aids
• Ability to lead Advanced Analytics user group by identifying opportunistic topics aligned with strategic goals and organizing cross-functional presenters, including technical and business partners
• Candidate must be a self-starter and creative problem-solver with an innovative and curious mindset
• Strong ability to identify and manage risks and escalate appropriately and timely
• Strong situational analysis and decision-making abilities

Preferences

• Exposure to or hands-on experience with other BI / visualizations platforms like Microsoft Fabric / Power BI, Tableau, and/or Looker helpful
• Professional Cloud Architect certification preferred
• Financial and/or Banking background preferred

• Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties. If located near a KeyBank location, the position in the future may work partially from a Key facility. If not located near a Key facility, team will consider remote workers.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $79,000 to $120,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance

Please click here for a list of benefits for which this position is eligible.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing

Location:

4910 Tiedeman Road - Brooklyn, Ohio 44144

Job Description

“This position is not eligible for employment visa sponsorship”

This role is a hybrid position with an onsite expectation in one of our locations.

ABOUT THE JOB

The Analytics Enablement team, part of the Enterprise Data & Analytics Services , is on a mission to transform KeyBank into an innovative, insights-driven enterprise. We empower decision-makers across the organization by supporting modern analytics tools, delivering robust training, managing metadata, and deploying next-generation analytics capabilities.

As a GCP Tools Senior Analyst , you will play a pivotal role in supporting and advancing our analytics and advanced analytics functions to align with organizational goals. You will provide technical support, training, and innovation leadership; Especially around open-source and Google Cloud Platform (GCP) technologies. This role is ideal for someone passionate about enabling data-driven decision-making and building scalable, modern analytics infrastructure.

ESSENTIAL JOB FUNCTIONS

• Collaborate with cross-functional teams to support and enhance analytics and advanced analytics technologies, with a focus on open-source and GCP-based solutions.

• Provide technical support and training to end-users on open-source tools and platforms.

• Design and implement GCP-based infrastructure to support analytics and modeling teams.

• Evaluate and integrate innovative technologies to enhance enterprise analytics capabilities.

• Partner with data scientists, solution architects, cloud engineers and business teams to design ML infrastructure, validate data quality.

• Ensure tight integration with BI data engineers, data architects, and ETL developers to support end-to-end analytics workflows.

• Guide analytics teams in selecting and integrating appropriate tools and methods for advanced modeling and decision support.

• Maintain a strong focus on Organizational Change Management to ensure stakeholders are appropriately engaged and empowered through communications, training, and collaboration.

REQUIRED QUALIFICATIONS

• Advanced degree in Computer Science, Decision Science, or equivalent experience.

• 5 years of experience in advanced analytics, data science, or open-source computing infrastructure.

• 4 years of hands-on experience with Google Cloud Platform (GCP) architecture and services.

• Minimum 3 years of experience designing solutions for analytics or advanced modeling teams.

Technical Skills

• A broad, enterprise-wide view of the business and strong mind for building strategy, streamlining processes and enabling analytics capabilities and governance

• Strong experience applying architectural principles to business challenges and create technical roadmaps and requirements documentation

• Proven track record for recognizing pain points within the organization, functional interdependencies and cross-silo redundancies

• Ability to understand and recognize the economics of analytics technology and the business goals

• Mastery of Python and data science libraries and best practices.

• Strong experience with GCP data warehousing and processing technologies such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.

• Experience with GCP storage solutions such as Cloud Storage and BigLake, and data formats like Parquet, JSON, ORC, Avro.

• Proficiency in databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL.

• Experience with SparkSQL, Spark MLlib, and third-party machine learning algorithms such as XGBoost and LightGBM using PySpark.

• Familiarity with SAS and Linux/Unix environments.

• Understanding of web technologies and modern data architecture.

• Knowledge of advanced technologies, including machine learning, NLP, and streaming analytics.

Soft Skills

• Experience operating in Scrum Project Management and traditional project management, able to adjust plans as needed and escalate / manage risks in a timely manner

• Comfortable multi-tasking, highly flexible, and highly motivated to provide stellar customer service and support

• Exceptional communication skills and the ability to interact, collaborate, and present to all levels of the organization

• Ability to curate training roadmaps that empower analysts with the proper skills to advance the organization’s goals and create / maintain appropriate instructional aids

• Ability to lead Advanced Analytics user group by identifying opportunistic topics aligned with strategic goals and organizing cross-functional presenters, including technical and business partners

• Candidate must be a self-starter and creative problem-solver with an innovative and curious mindset

• Strong ability to identify and manage risks and escalate appropriately and timely

• Strong situational analysis and decision-making abilities

Preferences

• Exposure to or hands-on experience with other BI / visualizations platforms like Microsoft Fabric / Power BI, Tableau, and/or Looker helpful

• Professional Cloud Architect certification preferred

• Financial and/or Banking background preferred

• Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties. If located near a KeyBank location, the position in the future may work partially from a Key facility. If not located near a Key facility, team will consider remote workers.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $79,000 to $120,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance

Please click here ( for a list of benefits for which this position is eligible.

Job Posting Expiration Date: 08/28/2025

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing

KeyBank is an organization collectively committed to helping you unlock your potential and discover what truly drives you. Working here means sharing our purpose to help our clients, colleagues, and communities thrive. You’ll find genuinely supportive teammates, a flexible, inclusive work environment, challenging projects, accessible leaders, and opportunities to grow in your position and your career. For 200 years, Key has opened doors in our communities. Let us open one for you.