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Data Architect Jobs in California (NOW HIRING)

Data Architect

San Diego, CA · On-site

$130K - $163K/yr

JOB Objective The Data Architect is a hands‑on technical leader responsible for shaping and modernizing the organization's enterprise data architecture across on‑premises and cloud platforms. The ...

Data Architect

San Diego, CA · On-site

$130K - $163K/yr

JOB Objective The Data Architect is a hands‑on technical leader responsible for shaping and modernizing the organization's enterprise data architecture across on‑premises and cloud platforms. The ...

Data Architect

San Jose, CA · On-site

$74.75 - $96/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Skills Requirement: Research, analyze and define technical problems and ...

Data Architect

Sacramento, CA · On-site

$59 - $76/hr

Data Architect Loc: Sacramento, CA - Hybrid Role Duration: 12+ months Note: Candidate should have Healthcare Public Sector Experience. Local to Sacramento Candidate Preferred. Role Overview We are ...

Data Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data Architect who has experience with data transfer, data migration, and data conversion Location : Los Angeles, CA Duration : 4 Months Plus with potential to renew. Work onsite 4 days a week IT Dat ...

Data Architect

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

Data Architect Location: Sunnyvale CA Hire Type: Full Time Only Salary: As Per Market - Experience with Data Migration between disparate DB Technologies e.g., Oracle, Mongo, Cassandra Experience with ...

Data Architect

Sacramento, CA · On-site

$110 - $160/hr

This includes defining the technical data architecture, modern data platforms, enterprise data warehouse, and analytics infrastructure. The incumbent collaborates with business and IT stakeholders to ...

Data Architect

Sacramento, CA · On-site

$9.5K - $12K/mo

The Data Architect drives innovation by designing secure, high-performing, and future-ready data solutions that make data accessible, trusted, and actionable across the organization. You will find ...

Data Architect

San Leandro, CA · On-site

$72 - $92.75/hr

Experience: 8+ years as a Data Architect, including at least 2 successful enterprise-level Snowflake implementations. Skills: Snowflake architecture (virtual warehouses, snowpipe, clustering keys ...

Data Architect

Fremont, CA · On-site

$166 - $350/hr

Data Architect Date: Jul 29, 2026 Location: Fremont, CA, US, 94538 Worker Category: On-site Flex The group you'll be a part of The Customer Support Business Group focuses on enabling our customers ...

DATA ARCHITECT

Fremont, CA · On-site

$70 - $90/hr

Info Way Solutions is seeking a Data Architect to join their team. The role involves designing data architectures for scalability and performance, as well as managing data migration on large-scale ...

Data Architect

Santa Clarita, CA · On-site

$64.75 - $83.25/hr

Required Skills & Qualifications * 12+ years of experience in data architecture, with 5+ years hands-on in Databricks. * Strong Experience in Snowflake * Experience in cloud platforms AWS, especially ...

Data Architect

San Ramon, CA

$71.25 - $91.75/hr

Data Architect Location : San Ramon, CA Duration: 12+ Months Contract to Hire (Non locals are fine) Client is looking for a candidate to fulfill the role of Informatica ETL Architect. Candidate ...

Data Architect

Pasadena, CA

$69.50 - $89.50/hr

Translating customers business & technical requirements into a data solution architecture in alignment with ADP's overall architectural directions and strategies. A Technical leader who drives the ...

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Data Architect information

See California salary details

$10

$69

$92

How much do data architect jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data architect in California is $69.06, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $77.84 per hour, depending on experience, location, and employer.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What are the key skills and qualifications needed to thrive as a data architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure and architecture to ensure data is accessible, reliable, and secure. They develop data models, establish data standards, and work with database management systems and tools to support data integration and analytics. Strong knowledge of data warehousing, SQL, and data governance is essential for this role.

What are the most commonly searched types of Data Architect jobs in California?

The most popular types of Data Architect jobs in California are:

What are popular job titles related to Data Architect jobs in California?

For Data Architect jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Architect jobs in California look for?

The top searched job categories for Data Architect jobs in California are:

What cities in California are hiring for Data Architect jobs?

Cities in California with the most Data Architect job openings:

What are popular job titles related to Data Architect jobs in CA?

For Data Architect jobs in CA, the most frequently searched job titles are:

Infographic showing various Data Architect job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $143,650 per year, or $69.1 per hour.

Data Architect

California Coast Credit

San Diego, CA • On-site

$130K - $163K/yr

Full-time

Posted 22 days ago


Key responsibilities

  • Define and maintain enterprise data models, schemas, and integration patterns supporting analytics, reporting, and digital banking.

  • Architect and govern data environments including Data Lake, Data Warehouse, Operational Data Store, and cloud data platforms.

  • Design and oversee enterprise data ingestion, transformation, and integration pipelines using modern tools and standards.


Job description

JOB Objective

 

The Data Architect is a hands‑on technical leader responsible for shaping and modernizing the organization’s enterprise data architecture across on‑premises and cloud platforms. The role defines scalable data models, cloud‑native integration patterns, and architectural standards that enable analytics, reporting, digital banking, and other mission‑critical applications. Working closely with engineering, analytics, and business teams, this leader ensures secure, resilient, and high‑performing data environments while providing architectural direction for the Data Lake, Data Warehouse, Operational Data Store, and emerging cloud platforms. The position combines strategic architectural vision with deep, practical experience in designing, implementing, and optimizing modern data systems across structured, semi‑structured, and unstructured workloads.


Supervisory responsibilities

 

• Reports directly to the Director, Cloud & Data for strategic direction, coaching, and performance evaluation.

• Provides architectural leadership and technical guidance to Data Engineers, Data Analysts, and cross‑functional development teams.


NATURE & SCOPE

 

This role shapes enterprise data strategy, mentors teams on modern architecture and governance, and ensures alignment on scalable design principles across cloud and on‑prem data platforms.

 

Enterprise Data Architecture & Modeling

  • Define and maintain enterprise data models, canonical schemas, and integration patterns supporting analytics, reporting, and digital banking. 
  • Architect and govern the Data Lake, Data Warehouse, ODS, and cloud data platforms, ensuring consistency, scalability, and alignment with business needs. 
  • Establish standards for structured, semi‑structured, and unstructured data across SQL, NoSQL, and cloud‑native systems. 
  • Lead the design of golden‑record strategies, SSOT frameworks, and member‑data standardization initiatives.

Data Governance, Quality & Metadata Management

  • Develop and enforce policies for data quality, lineage, cataloging, and metadata management. 
  • Partner with business and engineering teams to implement governance frameworks that ensure accuracy, consistency, and regulatory compliance. 
  • Oversee data validation, profiling, and quality automation across ingestion and transformation pipelines.

Integration Architecture & Pipeline Design

  • Architect enterprise‑grade data ingestion, transformation, and integration pipelines using modern tools such as ADF, Airflow, Informatica, SSIS, and cloud‑native services. 
  • Define standards for API‑driven data exchange, event‑based integrations, and real‑time data flows supporting ODS and transactional reporting. 
  • Guide engineering teams on best practices for ETL/ELT design, orchestration, and automation.

Database & Platform Architecture

  • Provide architectural oversight for SQL Server, Azure SQL, Snowflake, MySQL, MongoDB Atlas, Cosmos DB, and other enterprise data platforms. 
  • Define strategies for high availability, disaster recovery, performance tuning, and secure connectivity. 
  • Lead modernization efforts including cloud migration, platform consolidation, and adoption of emerging data technologies.

Analytics & BI Enablement

  • Architect semantic models, curated datasets, and analytics‑ready structures for BI platforms such as Power BI and Tableau. 
  • Partner with analytics teams to ensure data structures support advanced reporting, machine learning, and enterprise dashboards. 
  • Govern KPI definitions, metric consistency, and analytical data standards.

Collaboration & Cross‑Functional Leadership

  • Work closely with engineering, product, security, and business teams to align data architecture with organizational strategy. 
  • Provide architectural guidance for enterprise projects, digital platform initiatives, and system conversions. 
  • Communicate complex data concepts to technical and non‑technical stakeholders through documentation, diagrams, and presentations.

 

EDUCATION, SKILLS & ABILITIES

 

Minimum Requirements

  • Bachelor’s degree in computer science, Information Systems, or related field.
  • 12+ years of progressive experience in data architecture, data engineering, database design, and enterprise data platforms.
  • Proven leadership experience guiding engineering teams and influencing enterprise data strategy.

Technical Expertise

  • Mastery of enterprise data modeling (conceptual, logical, physical) and metadata management.
  • Deep experience with cloud databases as a service such as Snowflake, Azure Synapse, Azure SQL, SQL Server, MongoDB Atlas, Cosmos DB, and cloud‑native data services.
  • Advanced SQL, Python, and scripting capabilities for architectural prototyping and troubleshooting.
  • Expertise in ETL/ELT frameworks such as SSIS, Informatica IDMC, Airflow, Dbt Cloud, ADF.
  • Strong understanding of ODS architecture, real‑time data flows, and transactional reporting needs supported by responsibilities such as Configures and maintaining the organization’s Operation Data Store (ODS).
  • Experience with data quality frameworks, governance tools, and lineage/cataloging platforms.
  • Hands-on experience with BI tools such as Power BI, Tableau and semantic modeling.
  • Knowledge of cloud security, encryption, RBAC, and compliance standards for financial institutions.

Leadership & Soft Skills

  • Strong communication and stakeholder‑management skills.
  • Ability to translate business requirements into scalable architectural designs.
  • Demonstrated mentorship, collaboration, and cross‑team leadership.
  • Commitment to operational excellence, documentation, and continuous improvement.


MAJOR ACCOUNTABILITIES

 

  • Define and maintain the enterprise data architecture roadmap. 
  • Ensure data platforms meet performance, security, and compliance standards. 
  • Lead architectural design for enterprise data initiatives such as golden records, and 360‑member view. 
  • Provide architectural oversight for Data Warehouse, Data Lake, ODS, and analytics/BI platforms. 
  • Partner with engineering teams to ensure high‑quality implementation of architectural designs. 
  • Support enterprise projects with architectural guidance and technical leadership. 
  • Ensure member service and satisfaction remain central to all data‑related initiatives. 
  • Perform other duties as assigned.

 

ENVIRONMENTAL CONDITIONS


  • Work is primarily performed within a cubicle office setting. Subject to conversational noise found in an office environment.



 

Note: Staff are expected to perform various tasks, projects and administrative duties as assigned.

Management reserves the right to assign or change duties and tasks to this position at their discretion. 


Salary Range (annually)

$130,813.6560 - $163,517.0700