30 Data Architect jobs in Los Angeles

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE’s 100 Best Companies to Work For and Diversity Inc’s Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture’s clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today’s biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources.

Key Responsibilities:

• As a Data Architect, you will be responsible for defining the data requirements and structure for the application.

• You will model and design the application data structure, storage, and integration.

• You are expected to be a subject matter expert, collaborate and manage the team to perform effectively.

• You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions.

• Additionally, you will provide solutions to problems for your immediate team and across multiple teams.

• Design and implement scalable data architectures that meet business needs.

• Collaborate with cross-functional teams to ensure data integrity and accessibility.

• Lead data modeling sessions to define and refine data structures.

• Evaluate and recommend new data technologies and tools to enhance data management.

• Provide mentorship and guidance to junior team members in data architecture best practices.

Basic Qualifications:

• Minimum of 5 years of expert proficiency in Data Migration Design with Microsoft Azure.

• Minimum of 5 years of expert level experience in Snowflake (Platform).

• Minimum of 5 years of expert level experience in Databricks Platform.

• Minimum of 3 year of experience with Microsoft Azure Cosmos DB.

• Minimum of 2 years of experience with ERwin and Microsoft Azure Batch.

• High School Diploma or GED

Preferred Qualifications:

• Bachelors or Associates degree

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New Jersey, New York or Washington as set forth below.

We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Hourly Salary Range

California $73.08 - $3.08 per hour

Colorado 73.08 - 83.08 per hour

District of Columbia 73.08 - 83.08 per hour

Illinois 73.08 - 83.08 per hour

Maryland 73.08 - 83.08 per hour

Minnesota 73.08 - 83.08 per hour

New Jersey/New York 73.08 - 83.08 per hour

Washington 73.08 - 83.08 per hour

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement (

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA).

MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).

A day in the life.

As a Senior Data Architect on the Data team, you’ll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you’ll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform.

Our future colleague.

We’d love to meet you if your professional track record includes these skills:
•    10+ or more years of experience in Information Technology.
•    5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy
•    5 to 7 years of experience in Cloud database technologies.
•    7 to 10 years of experience as a data architect

•  Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table
•    Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise
•    Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores
•    Proficiency in the design of batch and streaming data ingestion
•    Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs
•    Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data
•    Designing and maintaining the data models, including conceptual, logical, and physical data models
•    Experience with SOA data layer utilizing data access frameworks and exposing data via web services
•    Experience with Business Intelligence and data mart architecture
•    Experience creating a data architecture vision between lines of business and IT
•    Demonstrated competency in communicating the value of data architecture to stakeholders and senior management
•    Experience in SDLC processes, database patterns, and development frameworks
•    Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations
•    Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance
•    Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies
•    Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication

•    Knowledge of Informatica – IICS task flows development and maintenance
•    Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database
•    Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM
•    Experience with data integration services such as Azure Data Factory
•    Experience with business intelligence tools; Power BI or Qlik is preferred
•    Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment

These additional qualifications are a plus, but not required to apply:
•    Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point

•    Microsoft Azure Data Engineer or other cloud certifications

•    Data bricks experience and certification

We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.

Valuable benefits.

We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work.

Some benefits included in this role are:
•    Generous time off, including personal and volunteering
•    Tuition reimbursement and professional development opportunities
•    Remote work
•    Charitable contribution match programs
•    Stock purchase opportunities

To learn more about a career at MMA, check us out online: or flip through our recruiting brochure:
Follow us on social media to meet our colleagues and see what makes us tick:

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Who you are is who we are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

#LI-Remote

The applicable base salary range for this role is $113,000 to $197,800.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Applications will be accepted until: October 20, 2025

Apply now: Senior Data Architect, location is Hybrid (Burbank, CA). The start date is August 26, 2025 or two weeks from offer for this 1-year contract position.

Job Title: Senior Data Architect
Location-Type: Hybrid (Tues-Thurs onsite)
Start Date Is: August 26, 2025 or two weeks from offer
Duration: 1 year contract
Compensation Range: $90.00/hr - $110.00/hr W2

Job Description:
Design, build, and govern scalable, reusable, cloud-native data architectures and pipelines to power analytics, forecasting, and AI-driven insights, ensuring alignment with enterprise governance standards.

Day-to-Day Responsibilities:

• Define and maintain canonical data models, semantic layer specifications, and entity relationships for consistent use across domains
• Develop logical and physical data models supporting real-time analytics and forecasting
• Architect resilient, high-performance batch and streaming pipelines using AWS-native services (Glue, Kinesis, Lambda, Step Functions)
• Partner with governance teams to embed metadata, lineage, access controls, and data quality into the design process
• Implement APIs, semantic models, and reusable data services for multi-team adoption
• Collaborate with product pods, cloud architects, and engineers to deliver shared services and resolve semantic conflicts
• Enable ML/AI-ready pipelines and accelerate model development by structuring data for analytics use cases

• Must-Haves:
  
  • 7+ years' experience designing and delivering data architecture for cloud-based platforms
  • Deep AWS expertise (Glue, Lambda, Step Functions, Lake Formation)
  • Proficiency with modern tooling (Snowflake, Databricks, Informatica)
  • Proven ability to design scalable, reusable canonical and semantic data models
  • Hands-on pipeline design and orchestration for batch and real-time processing
  • Knowledge of governance, lineage, and quality best practices
  • Strong cross-functional collaboration skills and ability to translate architecture decisions across technical and business audiences
• Nice-to-Haves:
  
  • Experience in media, entertainment, or financial analytics
  • MLOps and AI/ML data enablement experience

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Lead in line with our values and brand.

• Develop new ideas, solutions, and structures; drive thought leadership.

• Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.

• Balance long-term, short-term, detail-oriented, and big picture thinking.

• Make strategic choices and drive change by addressing system-level enablers.

• Promote technological advances, creating an environment where people and technology thrive together.

• Identify gaps in the market and convert opportunities to success for the Firm.

• Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.

Responsibilities

• Lead the creation and execution of data architecture strategies

• Drive innovation and thought leadership in data solutions

• Collaborate with stakeholders to align technical solutions with business needs

• Maintain compliance with data governance and security protocols

• Promote an environment where technology and people excel together

• Translate complex data requirements into actionable technical plans

• Oversee the implementation of advanced data technologies

• Facilitate cross-functional collaboration to enhance data architecture

What You Must Have

• Bachelor's Degree

• 10 years of experience

What Sets You Apart

• Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate) is a plus

• Proficient in Python and structured/unstructured data

• Proficient in SQL and relational databases

• Writing and maintaining FastAPI endpoints for applications

• Understanding AI techniques enhancing LLMs

• Experience in prompt engineering for LLM outputs

• Developing scalable data storage solutions using cloud services

• Designing and managing data warehouses and data lakes

• Implementing IAM roles and policies for cloud platforms

Learn more about how we work:

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy:

As PwC is an?equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law?

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines:

The salary range for this position is: $155,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

#LI-Hybrid

Apply now: Senior Data Architect, location is Hybrid (Burbank, CA). The start date is August 26, 2025 or two weeks from offer for this 1-year contract position.

Job Title: Senior Data Architect
Location-Type: Hybrid (Tues-Thurs onsite)
Start Date Is: August 26, 2025 or two weeks from offer
Duration: 1 year contract
Compensation Range: $90.00/hr - $110.00/hr W2

Job Description:
Design, build, and govern scalable, reusable, cloud-native data architectures and pipelines to power analytics, forecasting, and AI-driven insights, ensuring alignment with enterprise governance standards.

Day-to-Day Responsibilities:

• Define and maintain canonical data models, semantic layer specifications, and entity relationships for consistent use across domains
  
• Develop logical and physical data models supporting real-time analytics and forecasting
  
• Architect resilient, high-performance batch and streaming pipelines using AWS-native services (Glue, Kinesis, Lambda, Step Functions)
  
• Partner with governance teams to embed metadata, lineage, access controls, and data quality into the design process
  
• Implement APIs, semantic models, and reusable data services for multi-team adoption
  
• Collaborate with product pods, cloud architects, and engineers to deliver shared services and resolve semantic conflicts
  
• Enable ML/AI-ready pipelines and accelerate model development by structuring data for analytics use cases
  

• Must-Haves:
  
  • 7 years' experience designing and delivering data architecture for cloud-based platforms
    
  • Deep AWS expertise (Glue, Lambda, Step Functions, Lake Formation)
    
  • Proficiency with modern tooling (Snowflake, Databricks, Informatica)
    
  • Proven ability to design scalable, reusable canonical and semantic data models
    
  • Hands-on pipeline design and orchestration for batch and real-time processing
    
  • Knowledge of governance, lineage, and quality best practices
    
  • Strong cross-functional collaboration skills and ability to translate architecture decisions across technical and business audiences
    
• Nice-to-Haves:
  
  • Experience in media, entertainment, or financial analytics
  • MLOps and AI/ML data enablement experience

• Architect and optimize FIDE systems including claims, eligibility, provider management, and reporting.
• Ensure compliance with CMS and state regulations across dual-eligible member workflows.
• Manage system enhancements for rate updates, retroactive claims, and encounter submissions.
• Collaborate with business, IT, and compliance teams to improve processes and technology.
• Maintain architecture documentation, data flows, and integration specs.
• Support new market implementations and continuous improvements.
• Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred).
• 7+ years in healthcare IT; 1+ year experience with Medicaid/Medicare duals or FIDE programs.