Data And Analytics Jobs in California
Data And Analytics jobs in California are among the most active in the country, concentrated in technology, finance, healthcare, and entertainment across a market that ranges from entry-level analyst roles through senior data science and director-level positions. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where employers like Google, Kaiser Permanente, and Wells Fargo maintain major operations and consistently recruit data and analytics talent. The most in-demand specialties include machine learning engineering, business intelligence, and healthcare data analytics. Find a role that fits below and apply directly.
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INTRODUCTION
Enterprise Architect – Data & Analytics
ROLE
Experience Required: 10–16 years overall IT experience; 5–7+ years in data/analytics architecture and enterprise reporting ecosystems.
-
Background
TCS partners with our customers on enterprise data, analytics, and reporting modernization initiatives, including BI platform assessments and migrations from legacy reporting tools to modern tools.
The Enterprise Architect (Data & Analytics) provides architectural leadership across data platforms, analytics ecosystems, and enterprise reporting architectures, ensuring alignment with business goals, governance standards, and long-term data strategy. -
Skills Required
- Strong experience in enterprise data and analytics architecture
- Expertise with BI and reporting platforms (Power BI, Tableau, enterprise reporting ecosystems)
- Experience defining semantic layer strategy, dataset governance, and analytics consumption patterns
- Understanding of modern data platforms (warehouse/lake/lakehouse) and data pipeline patterns
- Knowledge of enterprise integration patterns for data ingestion and data product enablement
- Experience with metadata management and data catalogs (concepts and patterns)
- Experience with data governance, data quality, lineage, and stewardship models
- Awareness of privacy, security, and regulatory considerations impacting enterprise data
- Ability to embed governance-by-design into data architecture recommendations
- Ability to translate business analytics needs into architecture designs and roadmaps
-
Experience producing executive-ready architecture artifacts and recommendations
-
Responsibilities
- Define and maintain enterprise data architecture blueprints (sources, flows, transformations, quality, governance, and security)
- Assess current-state data, analytics, and reporting architectures; identify gaps, risks, and opportunities for modernization
- Define target-state analytics/BI architecture (semantic layer, dataset strategy, reporting ecosystem evolution) and migration pathways
- Establish and govern enterprise standards for data modeling, metadata, and platform patterns; drive consistency across domains
- Drive data governance controls (quality, lineage, access, compliance) and ensure architecture aligns with privacy/security expectations
- Define roadmap recommendations for data platforms and storage approaches balancing performance, cost, and compliance
- Partner with stakeholders to capture analytics requirements and translate them into architecture decisions and non-functional expectations
- Ensure BI modernization programs align to enterprise data standards and governance expectations
- Produce executive-ready architecture recommendations and assessment deliverables
COMPENSATION
- Salary Range: $120,000–$150,000 a year
LOCATION
Irvine, CA
Job Function
TECHNOLOGY
Role
Enterprise Architect
Job Id
412622
Desired Skills
Data Analytics
Qualifications
BACHELOR OF COMPUTER SCIENCE
INTRODUCTION
Enterprise Architect – Data & Analytics
ROLE
Experience Required: 10–16 years overall IT experience; 5–7+ years in data/analytics architecture and enterprise reporting ecosystems.
-
Background
TCS partners with our customers on enterprise data, analytics, and reporting modernization initiatives, including BI platform assessments and migrations from legacy reporting tools to modern tools.
The Enterprise Architect (Data & Analytics) provides architectural leadership across data platforms, analytics ecosystems, and enterprise reporting architectures, ensuring alignment with business goals, governance standards, and long-term data strategy. -
Skills Required
- Strong experience in enterprise data and analytics architecture
- Expertise with BI and reporting platforms (Power BI, Tableau, enterprise reporting ecosystems)
- Experience defining semantic layer strategy, dataset governance, and analytics consumption patterns
- Understanding of modern data platforms (warehouse/lake/lakehouse) and data pipeline patterns
- Knowledge of enterprise integration patterns for data ingestion and data product enablement
- Experience with metadata management and data catalogs (concepts and patterns)
- Experience with data governance, data quality, lineage, and stewardship models
- Awareness of privacy, security, and regulatory considerations impacting enterprise data
- Ability to embed governance-by-design into data architecture recommendations
- Ability to translate business analytics needs into architecture designs and roadmaps
-
Experience producing executive-ready architecture artifacts and recommendations
-
Responsibilities
- Define and maintain enterprise data architecture blueprints (sources, flows, transformations, quality, governance, and security)
- Assess current-state data, analytics, and reporting architectures; identify gaps, risks, and opportunities for modernization
- Define target-state analytics/BI architecture (semantic layer, dataset strategy, reporting ecosystem evolution) and migration pathways
- Establish and govern enterprise standards for data modeling, metadata, and platform patterns; drive consistency across domains
- Drive data governance controls (quality, lineage, access, compliance) and ensure architecture aligns with privacy/security expectations
- Define roadmap recommendations for data platforms and storage approaches balancing performance, cost, and compliance
- Partner with stakeholders to capture analytics requirements and translate them into architecture decisions and non-functional expectations
- Ensure BI modernization programs align to enterprise data standards and governance expectations
- Produce executive-ready architecture recommendations and assessment deliverables
COMPENSATION
- Salary Range: $120,000–$150,000 a year
LOCATION
Irvine, CA
Job Function
TECHNOLOGY
Role
Enterprise Architect
Job Id
412622
Desired Skills
Data Analytics
Qualifications
BACHELOR OF COMPUTER SCIENCE
See All 139+ Data And Analytics Jobs in California
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Find Data And Analytics JobsData And Analytics Jobs by City in California
Where California roles are concentrated, by current openings.
Data And Analytics Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- NVIDIA20
- Apple14
- City and County of San Francisco6
- Pacific Gas and Electric6
- Amazon3
Top Industries Hiring
- Technology & Software43
- Electronics & Hardware30
- Biotechnology & Pharmaceuticals11
- Banking & Financial Services10
- Consulting & Professional Services8
What California Employers Look For
The qualifications that appear most often in data and analytics jobs across California.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
- Proficiency in Python, R, or SQL for data manipulation and analysis
- Experience with BI tools such as Tableau, Looker, or Power BI
- Familiarity with cloud data platforms including Google BigQuery, AWS, or Snowflake
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Experience working with large, complex datasets in a production environment
Data And Analytics Jobs in California: Frequently Asked Questions
How do you become a data and analytics in California?
California does not require a state-issued license to work in data and analytics, so entry is credential and skill driven. Most employers expect at least a bachelor's degree in statistics, computer science, economics, or a related field, with a master's degree common at mid and senior levels. Building proficiency in Python, SQL, and a major BI tool alongside a portfolio of projects on public datasets is the most direct path to landing a first role in the California market.
Which companies hire data and analyticss in California?
Employers hiring data and analyticss in California right now include NVIDIA, Apple, and City and County of San Francisco, based on current listings on Migrate Mate as of June 2026. California's concentration of technology headquarters, large healthcare systems, and financial services firms means demand is spread across industries rather than limited to a single sector.
Which California cities have the most data and analytics jobs?
Santa Clara, San Francisco, and Cupertino have the most data and analytics openings in California. The San Francisco Bay Area leads because of its density of technology and venture-backed companies, Los Angeles draws demand from media, entertainment, and e-commerce employers, and San Diego's life sciences and biotech sector generates consistent openings for analysts and data scientists.
Are there remote data and analytics jobs in California?
Yes, and more than most fields. About 24% of data and analytics openings tied to California are remote or hybrid as of June 2026, reflecting how thoroughly this work can be done off-site. Roles focused on modeling, reporting, and business intelligence tend to be the most remote-friendly, while positions requiring close collaboration with engineering or product teams often prefer hybrid arrangements.
How can I get hired as a data and analytics in California with little or no experience?
The most realistic entry path is combining a strong portfolio with roles that sit adjacent to analytics, such as data coordinator, reporting analyst, or business operations associate, at large California employers like Kaiser Permanente, Salesforce, or state government agencies. Many large California tech and healthcare employers run associate analyst or rotational programs designed for recent graduates. A verified credential such as a Google Data Analytics Certificate or completion of a California community college data science program adds tangible credibility when a formal degree in a directly related field is missing.
Where can I find and apply to data and analytics jobs in California?
You can find and apply to data and analytics jobs in California on Migrate Mate, which lists current openings tied to California employers. Search the listings to find roles that match your experience and location, then apply directly to the ones that fit.
See All 139+ Data And Analytics Jobs in California
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