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 7+ Enterprise Data Architect jobs
Xperi is transforming how enterprise technology, data, automation, and AI work together across the company.
Our business operates across a diverse ecosystem of enterprise platforms including Salesforce, NetSuite, ServiceNow, Atlassian, data platforms, AI services, and custom applications. While these systems successfully support business operations, critical business information is often represented differently across platforms, creating inconsistency, complexity, and barriers to automation.
We are building a modern enterprise data foundation that will power reporting, analytics, automation, copilots, AI agents, and future digital experiences.
The Principal Enterprise Data & AI Information Architect will lead the design of that foundation.
This individual will define how enterprise data is modeled, connected, governed, and understood across the company, creating a scalable semantic architecture that enables trusted business decisions and AI-driven operations.
This is a highly visible Principal-level individual contributor role reporting directly to the CIO and partnering with executive leadership across Finance, Sales, Operations, Product, HR, Legal, and Engineering.
Role Overview
The Principal Enterprise Data & AI Information Architect is responsible for defining the enterprise-wide data architecture strategy and establishing a unified semantic framework across all business platforms.
This role serves as the authoritative leader for enterprise data definitions, canonical business models, semantic architecture, metadata strategy, and AI-ready data structures.
The role does not own data engineering execution, reporting development, or integration delivery. Instead, it establishes the architectural standards that those teams implement.
When multiple systems produce different answers to the same business question, this role owns identifying and eliminating the underlying data architectural cause.
Key Responsibilities
Enterprise Data Strategy
- Define and evolve Xperi’s enterprise data architecture roadmap
- Establish long-term data strategy supporting analytics, automation, AI, and digital transformation initiatives
- Partner with executive stakeholders to identify enterprise information priorities
- Align data architecture with business and technology strategy
Enterprise Data Modeling
- Define and maintain enterprise canonical data models
- Establish common business entities including:
- Customer
- Account
- Product
- Revenue
- Contract
- Subscription
- Pipeline
- Employee
- Asset
- Operational Metrics
- Drive adoption of standardized business definitions across enterprise platforms
- Eliminate duplicate and conflicting representations of business information
Semantic Architecture & Business Ontology
- Design and establish the enterprise semantic layer
- Create shared business vocabulary and metric definitions
- Define enterprise business ontology and relationships between key data domains
- Enable consistent interpretation of business information across systems
- Establish semantic standards supporting reporting, APIs, automation, and AI applications
AI & Agentic Data Enablement
- Architect enterprise data structures optimized for:
- Microsoft Copilot
- Agentic AI platforms
- MCP-enabled architectures
- Enterprise search
- Knowledge retrieval
- AI orchestration platforms
- Partner with AI teams to ensure trusted and explainable AI outcomes
- Establish frameworks for contextual enterprise knowledge used by AI agents
- Enable future knowledge graph and enterprise memory capabilities
Data Products & Enterprise Consumption
- Define reusable enterprise data products
- Standardize data consumption patterns across applications and business functions
- Establish enterprise data contracts and ownership models
- Reduce duplication of business logic across systems
Architecture Governance
- Establish enterprise standards for:
- Data modeling
- Metadata management
- Data lineage
- Semantic definitions
- Data quality
- Enterprise APIs
- Partner with Security, Compliance, Governance, and Enterprise Application teams
Cross-Functional Leadership
- Influence application, integration, reporting, AI, and engineering teams
- Facilitate executive alignment on enterprise business definitions
- Resolve conflicts across organizations where competing definitions exist
- Serve as trusted advisor to senior leadership on enterprise data strategy
Success Measures
Success in this role will be measured through:
- Consistent business definitions across enterprise systems
- Adoption of enterprise semantic architecture
- Reduction in conflicting reports and metrics
- Increased reuse of enterprise data assets
- Simplified integration architecture
- Faster delivery of analytics and reporting solutions
- Increased AI effectiveness and trustworthiness
- Reduced time spent reconciling data inconsistencies
- Establishment of enterprise-wide data products and metadata standards
Qualifications
Required
- 12+ years of experience in Enterprise Data Architecture, Information Architecture, or Data Platform Leadership
- Deep expertise in:
- Enterprise data modeling
- Master data architecture
- Semantic layers
- Metadata management
- API-centric architectures
- Experience operating across complex SaaS ecosystems
- Strong understanding of modern cloud data architectures
- Experience supporting AI, machine learning, copilots, or agentic AI initiatives
- Exceptional executive communication and influence skills
- Demonstrated ability to drive enterprise-wide standards without direct authority
Preferred
- Experience with Salesforce, NetSuite, ServiceNow, Atlassian, and Microsoft ecosystems
- Experience implementing enterprise semantic models
- Experience with data catalogs and metadata platforms
- Knowledge graph or ontology experience
- Familiarity with Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or equivalent platforms
- Experience supporting AI governance and enterprise AI architectures
What This Role Is Not
This role:
- Does not build integrations
- Does not own reporting development
- Does not operate ETL pipelines
- Does not own data engineering teams
- Does not serve as a data governance administrator
This role defines how enterprise data should be structured, understood, and consumed so that engineering, integration, reporting, and AI teams can execute consistently.
- Competitive compensation (salary, equity and bonuses) and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future.
- Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community.
- Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities.
- A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.
The estimated base salary range for this full-time position is $157,940- $209,271 plus bonus and benefits, and can vary if outside of this location. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
Xperi is transforming how enterprise technology, data, automation, and AI work together across the company.
Our business operates across a diverse ecosystem of enterprise platforms including Salesforce, NetSuite, ServiceNow, Atlassian, data platforms, AI services, and custom applications. While these systems successfully support business operations, critical business information is often represented differently across platforms, creating inconsistency, complexity, and barriers to automation.
We are building a modern enterprise data foundation that will power reporting, analytics, automation, copilots, AI agents, and future digital experiences.
The Principal Enterprise Data & AI Information Architect will lead the design of that foundation.
This individual will define how enterprise data is modeled, connected, governed, and understood across the company, creating a scalable semantic architecture that enables trusted business decisions and AI-driven operations.
This is a highly visible Principal-level individual contributor role reporting directly to the CIO and partnering with executive leadership across Finance, Sales, Operations, Product, HR, Legal, and Engineering.
Role Overview
The Principal Enterprise Data & AI Information Architect is responsible for defining the enterprise-wide data architecture strategy and establishing a unified semantic framework across all business platforms.
This role serves as the authoritative leader for enterprise data definitions, canonical business models, semantic architecture, metadata strategy, and AI-ready data structures.
The role does not own data engineering execution, reporting development, or integration delivery. Instead, it establishes the architectural standards that those teams implement.
When multiple systems produce different answers to the same business question, this role owns identifying and eliminating the underlying data architectural cause.
Key Responsibilities
Enterprise Data Strategy
- Define and evolve Xperi’s enterprise data architecture roadmap
- Establish long-term data strategy supporting analytics, automation, AI, and digital transformation initiatives
- Partner with executive stakeholders to identify enterprise information priorities
- Align data architecture with business and technology strategy
Enterprise Data Modeling
- Define and maintain enterprise canonical data models
- Establish common business entities including:
- Customer
- Account
- Product
- Revenue
- Contract
- Subscription
- Pipeline
- Employee
- Asset
- Operational Metrics
- Drive adoption of standardized business definitions across enterprise platforms
- Eliminate duplicate and conflicting representations of business information
Semantic Architecture & Business Ontology
- Design and establish the enterprise semantic layer
- Create shared business vocabulary and metric definitions
- Define enterprise business ontology and relationships between key data domains
- Enable consistent interpretation of business information across systems
- Establish semantic standards supporting reporting, APIs, automation, and AI applications
AI & Agentic Data Enablement
- Architect enterprise data structures optimized for:
- Microsoft Copilot
- Agentic AI platforms
- MCP-enabled architectures
- Enterprise search
- Knowledge retrieval
- AI orchestration platforms
- Partner with AI teams to ensure trusted and explainable AI outcomes
- Establish frameworks for contextual enterprise knowledge used by AI agents
- Enable future knowledge graph and enterprise memory capabilities
Data Products & Enterprise Consumption
- Define reusable enterprise data products
- Standardize data consumption patterns across applications and business functions
- Establish enterprise data contracts and ownership models
- Reduce duplication of business logic across systems
Architecture Governance
- Establish enterprise standards for:
- Data modeling
- Metadata management
- Data lineage
- Semantic definitions
- Data quality
- Enterprise APIs
- Partner with Security, Compliance, Governance, and Enterprise Application teams
Cross-Functional Leadership
- Influence application, integration, reporting, AI, and engineering teams
- Facilitate executive alignment on enterprise business definitions
- Resolve conflicts across organizations where competing definitions exist
- Serve as trusted advisor to senior leadership on enterprise data strategy
Success Measures
Success in this role will be measured through:
- Consistent business definitions across enterprise systems
- Adoption of enterprise semantic architecture
- Reduction in conflicting reports and metrics
- Increased reuse of enterprise data assets
- Simplified integration architecture
- Faster delivery of analytics and reporting solutions
- Increased AI effectiveness and trustworthiness
- Reduced time spent reconciling data inconsistencies
- Establishment of enterprise-wide data products and metadata standards
Qualifications
Required
- 12+ years of experience in Enterprise Data Architecture, Information Architecture, or Data Platform Leadership
- Deep expertise in:
- Enterprise data modeling
- Master data architecture
- Semantic layers
- Metadata management
- API-centric architectures
- Experience operating across complex SaaS ecosystems
- Strong understanding of modern cloud data architectures
- Experience supporting AI, machine learning, copilots, or agentic AI initiatives
- Exceptional executive communication and influence skills
- Demonstrated ability to drive enterprise-wide standards without direct authority
Preferred
- Experience with Salesforce, NetSuite, ServiceNow, Atlassian, and Microsoft ecosystems
- Experience implementing enterprise semantic models
- Experience with data catalogs and metadata platforms
- Knowledge graph or ontology experience
- Familiarity with Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or equivalent platforms
- Experience supporting AI governance and enterprise AI architectures
What This Role Is Not
This role:
- Does not build integrations
- Does not own reporting development
- Does not operate ETL pipelines
- Does not own data engineering teams
- Does not serve as a data governance administrator
This role defines how enterprise data should be structured, understood, and consumed so that engineering, integration, reporting, and AI teams can execute consistently.
- Competitive compensation (salary, equity and bonuses) and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future.
- Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community.
- Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities.
- A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.
The estimated base salary range for this full-time position is $157,940- $209,271 plus bonus and benefits, and can vary if outside of this location. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
See All 7 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
Top Industries Hiring
- Technology & Software
- Construction & Real Estate
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, Qumulo, and Cellares, based on current listings on Migrate Mate as of August 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?
Pasadena, San Jose, and Riverside 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 50% of enterprise data architect openings tied to California are remote or hybrid as of August 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 7 Enterprise Data Architect Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Jobs