Enterprise Data Architect Jobs in California
Enterprise Data Architect jobs in California are among the most actively recruited senior technology roles in the country, with strong demand concentrated in enterprise software, financial services, healthcare systems, and state and local government IT modernization efforts at every level from associate architect through principal and distinguished engineer. The largest hiring activity clusters in the San Francisco Bay Area, Los Angeles, and San Diego, where companies such as Salesforce, Kaiser Permanente, and Wells Fargo maintain large technology organizations with ongoing data architecture needs. The most in-demand specializations include cloud-native data platform design, data mesh governance, and real-time analytics pipeline architecture. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 8+ Enterprise Data Architect jobs
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
The Enterprise Data Architect sets the technical foundation for how data is structured, integrated, stored and governed across our Medicare Advantage health plan — translating business strategy into scalable, compliant, and future-ready data solutions/services. This role partners directly with clinical operations, actuarial, compliance, IT, and business intelligence teams to ensure data assets support accurate risk adjustment, Star ratings performance, regulatory reporting, and member outcomes. The position drives measurable impact on the organization's ability to use data as a strategic asset — enabling analytics, AI/ML capabilities, and CMS-compliant reporting at scale.Job Duties/Responsibilities
Design and govern the data architecture that spans operational systems, cloud platforms, and analytics environments to support clinical and business workflows across our Medicare Advantage lines of business.
Build and maintain data models (conceptual, logical, and physical) that enable accurate risk adjustment, HEDIS reporting, Star ratings optimization, and encounter data submissions to CMS.
Establish and enforce data governance frameworks — in coordination with the Data Governance, compliance, and privacy teams — covering data quality, lineage, PHI/PII classification, and audit readiness.
Integrate structured and unstructured data from claims systems, EHRs, pharmacy platforms, and third-party sources into unified, reliable data pipelines that serve analytics and operational decision-making.
Define and uphold security architecture that meets HIPAA, CMS, and SOC 2 requirements while enabling appropriate, governed access for analytics teams and business consumers.
Evaluate and recommend data platforms, cloud technologies, and vendors — including tools for data virtualization, orchestration, consumption, analytics and AI/ML infrastructure — that align with organizational strategy and roadmap priorities.
Serve as the primary technical data partner to cross-functional leaders across clinical operations, population health, finance, product, and compliance — translating complex architecture decisions into clear business context.
Advance data-enabled innovation by scoping and piloting emerging capabilities — including generative AI, FHIR-based interoperability, and real-time streaming — that support care management and member engagement initiatives.
Supervisory Responsibilities
This role does not carry direct supervisory responsibility. The Enterprise Data Architect leads through technical authority and cross-functional influence across engineering, analytics, governance, and business teams.
Job Requirements
Experience
Required:
10+ years of progressive experience in data architecture, enterprise data integration, and database design
Minimum 2 years of experience working in a health plan, payer, or healthcare delivery system with direct familiarity with claims data, EHRs, HEDIS, and CMS reporting environments
Demonstrated experience designing data platforms in regulated, audit-sensitive environments with PHI and PII datasets (including canonical models for Enterprise Data Platforms)
Proven experience with cloud data platforms (AWS, Azure, or GCP) and modern architecture patterns including data lakes, lakehouses, and real-time streaming
Experience leading cross-functional architecture initiatives and influencing senior stakeholders without direct authority
Experience with working in agile delivery model.
Preferred:
Experience designing data solutions for Medicare Advantage-specific programs including risk adjustment, Star ratings, RADV audits, and value-based care models
Experience enabling AI/ML and generative AI capabilities within a healthcare data platform context
Background in DataOps, Agile delivery methodologies, and healthcare interoperability standards (FHIR, HL7)
Education
Required:
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field; equivalent combination of education and demonstrated experience will be considered
Preferred:
Master's degree in a related technical or data discipline
Training
Required:
Demonstrated working proficiency with cloud data platforms (Azure Databricks, Snowflake, BigQuery, Redshift, or equivalent) acquired through direct hands-on project experience
Preferred:
Cloud platform certification (AWS Certified Data Analytics, Azure Data Engineer Associate, or Google Professional Data Engineer)
Data governance or architecture certification (TOGAF, DAMA-CDMP)
Skills & Competencies
Technical / Role-Specific Skills
Data Architecture & Modeling — Expert-level proficiency in conceptual, logical, and physical data modeling using industry methodologies (Kimball, Inmon, Data Vault).
Cloud Data Platforms — Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift; familiarity with data lake and lakehouse architectures.
Data Integration & Orchestration — Working knowledge of ETL/ELT tools and orchestration platforms (Informatica, Talend, dbt, Airflow).
Healthcare Data Standards & Regulatory Knowledge — Applied knowledge of Medicare Advantage data constructs including HIPAA, CMS encounter data, HEDIS, STAR ratings, risk adjustment (HCC coding), and ICD-10/CPT codes.
Data Governance & Security — Demonstrated ability to design and enforce governance frameworks, data classification, lineage tracking, and PHI/PII protection across regulated environments.
SQL & Programming — Advanced SQL proficiency; working knowledge of Python or Scala for data engineering and pipeline use cases.
AI/ML-Enabling Infrastructure — Familiarity with MLflow, Feature Store, vector databases, LangChain, and generative AI APIs in the context of healthcare data environments.
Licensure
Required:
None required for this role.
Preferred:
TOGAF (The Open Group Architecture Framework)
DAMA Certified Data Management Professional (CDMP)
AWS Certified Data Analytics, Azure Solutions Architect, or Google Professional Cloud Architect
CPHIMS (Certified Professional in Health Informatics and Information Management) or equivalent healthcare IT credential
Essential Physical Functions
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
- DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com.
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
The Enterprise Data Architect sets the technical foundation for how data is structured, integrated, stored and governed across our Medicare Advantage health plan — translating business strategy into scalable, compliant, and future-ready data solutions/services. This role partners directly with clinical operations, actuarial, compliance, IT, and business intelligence teams to ensure data assets support accurate risk adjustment, Star ratings performance, regulatory reporting, and member outcomes. The position drives measurable impact on the organization's ability to use data as a strategic asset — enabling analytics, AI/ML capabilities, and CMS-compliant reporting at scale.Job Duties/Responsibilities
Design and govern the data architecture that spans operational systems, cloud platforms, and analytics environments to support clinical and business workflows across our Medicare Advantage lines of business.
Build and maintain data models (conceptual, logical, and physical) that enable accurate risk adjustment, HEDIS reporting, Star ratings optimization, and encounter data submissions to CMS.
Establish and enforce data governance frameworks — in coordination with the Data Governance, compliance, and privacy teams — covering data quality, lineage, PHI/PII classification, and audit readiness.
Integrate structured and unstructured data from claims systems, EHRs, pharmacy platforms, and third-party sources into unified, reliable data pipelines that serve analytics and operational decision-making.
Define and uphold security architecture that meets HIPAA, CMS, and SOC 2 requirements while enabling appropriate, governed access for analytics teams and business consumers.
Evaluate and recommend data platforms, cloud technologies, and vendors — including tools for data virtualization, orchestration, consumption, analytics and AI/ML infrastructure — that align with organizational strategy and roadmap priorities.
Serve as the primary technical data partner to cross-functional leaders across clinical operations, population health, finance, product, and compliance — translating complex architecture decisions into clear business context.
Advance data-enabled innovation by scoping and piloting emerging capabilities — including generative AI, FHIR-based interoperability, and real-time streaming — that support care management and member engagement initiatives.
Supervisory Responsibilities
This role does not carry direct supervisory responsibility. The Enterprise Data Architect leads through technical authority and cross-functional influence across engineering, analytics, governance, and business teams.
Job Requirements
Experience
Required:
10+ years of progressive experience in data architecture, enterprise data integration, and database design
Minimum 2 years of experience working in a health plan, payer, or healthcare delivery system with direct familiarity with claims data, EHRs, HEDIS, and CMS reporting environments
Demonstrated experience designing data platforms in regulated, audit-sensitive environments with PHI and PII datasets (including canonical models for Enterprise Data Platforms)
Proven experience with cloud data platforms (AWS, Azure, or GCP) and modern architecture patterns including data lakes, lakehouses, and real-time streaming
Experience leading cross-functional architecture initiatives and influencing senior stakeholders without direct authority
Experience with working in agile delivery model.
Preferred:
Experience designing data solutions for Medicare Advantage-specific programs including risk adjustment, Star ratings, RADV audits, and value-based care models
Experience enabling AI/ML and generative AI capabilities within a healthcare data platform context
Background in DataOps, Agile delivery methodologies, and healthcare interoperability standards (FHIR, HL7)
Education
Required:
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field; equivalent combination of education and demonstrated experience will be considered
Preferred:
Master's degree in a related technical or data discipline
Training
Required:
Demonstrated working proficiency with cloud data platforms (Azure Databricks, Snowflake, BigQuery, Redshift, or equivalent) acquired through direct hands-on project experience
Preferred:
Cloud platform certification (AWS Certified Data Analytics, Azure Data Engineer Associate, or Google Professional Data Engineer)
Data governance or architecture certification (TOGAF, DAMA-CDMP)
Skills & Competencies
Technical / Role-Specific Skills
Data Architecture & Modeling — Expert-level proficiency in conceptual, logical, and physical data modeling using industry methodologies (Kimball, Inmon, Data Vault).
Cloud Data Platforms — Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift; familiarity with data lake and lakehouse architectures.
Data Integration & Orchestration — Working knowledge of ETL/ELT tools and orchestration platforms (Informatica, Talend, dbt, Airflow).
Healthcare Data Standards & Regulatory Knowledge — Applied knowledge of Medicare Advantage data constructs including HIPAA, CMS encounter data, HEDIS, STAR ratings, risk adjustment (HCC coding), and ICD-10/CPT codes.
Data Governance & Security — Demonstrated ability to design and enforce governance frameworks, data classification, lineage tracking, and PHI/PII protection across regulated environments.
SQL & Programming — Advanced SQL proficiency; working knowledge of Python or Scala for data engineering and pipeline use cases.
AI/ML-Enabling Infrastructure — Familiarity with MLflow, Feature Store, vector databases, LangChain, and generative AI APIs in the context of healthcare data environments.
Licensure
Required:
None required for this role.
Preferred:
TOGAF (The Open Group Architecture Framework)
DAMA Certified Data Management Professional (CDMP)
AWS Certified Data Analytics, Azure Solutions Architect, or Google Professional Cloud Architect
CPHIMS (Certified Professional in Health Informatics and Information Management) or equivalent healthcare IT credential
Essential Physical Functions
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
- DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com.
See All 8 Enterprise Data Architect Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsEnterprise Data Architect Jobs by City in California
Where California roles are concentrated, by current openings.
Enterprise Data Architect Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
What California Employers Look For
The qualifications that appear most often in enterprise data architect jobs across California.
- Bachelor's or master's degree in computer science, information systems, or a related engineering field
- Eight or more years of experience designing and implementing enterprise-scale data architectures
- Hands-on expertise with cloud data platforms such as Snowflake, Databricks, or Google BigQuery
- Demonstrated ability to define data governance frameworks, data mesh principles, and metadata standards
- Experience leading cross-functional teams and collaborating with C-suite and business unit stakeholders
- Proficiency with data modeling tools and enterprise architecture frameworks such as TOGAF or Zachman
Enterprise Data Architect Jobs in California: Frequently Asked Questions
How do you become a enterprise data architect in California?
Enterprise data architects in California follow a path that typically begins with a bachelor's degree in computer science, information systems, or a related field, often complemented by a master's degree for senior roles. No California-specific state license is required, but employers consistently look for recognized industry credentials such as TOGAF certification, a cloud platform certification from AWS, Google, or Microsoft Azure, and demonstrated experience leading data strategy in a large organization. Building expertise in data governance and cloud-native architecture strengthens candidacy significantly in this market.
How much do enterprise data architects make in California?
Enterprise data architects in California earn a median of about $170,160 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,200 for the lowest 10% to over $227,900 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire enterprise data architects in California?
Employers hiring enterprise data architects in California right now include Xperi, Torani, and East West Bank, based on current listings on Migrate Mate as of October 2026. California's concentration of technology headquarters, large health systems, and financial services institutions means openings appear across a broad range of industries beyond pure technology.
Which California cities have the most enterprise data architect jobs?
Irvine, Orange, and Pasadena have the most enterprise data architect openings in California. The Bay Area leads because of its density of technology company headquarters and enterprise software firms, while Los Angeles draws demand from entertainment, healthcare, and financial services organizations, and San Diego's openings reflect its growing life sciences and defense technology sectors.
Are there remote enterprise data architect jobs in California?
Yes, and more than most fields. About 80% of enterprise data architect openings tied to California are remote or hybrid as of October 2026, reflecting the desk-based and strategic nature of the role. The work most commonly performed remotely includes data strategy development, architecture documentation, stakeholder workshops, and cloud platform design reviews that do not require physical presence in a data center or office.
How can I get hired as a enterprise data architect in California with little or no experience?
The most realistic entry path is through a data engineering or business intelligence analyst role at a California technology company or large institution, then building toward architecture responsibilities over time. Organizations such as Kaiser Permanente, Salesforce, and California state agencies run structured rotational or associate programs that allow analysts and engineers to work alongside senior architects. Earning a cloud platform certification and contributing to an open-source data project or internal data governance initiative strengthens a portfolio when formal experience is limited.
Where can I find and apply to enterprise data architect jobs in California?
You can find and apply to enterprise data architect jobs in California on Migrate Mate, which lists current California openings from employers actively hiring for this role. Find the roles that fit your experience and specialization and apply directly through each listing.
See All 8 Enterprise Data Architect Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Jobs