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Director Data Engineering Jobs in California (NOW HIRING)

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize ...

MUFG

Data Product & AI Enablement Director

Walnut Creek, CA · Hybrid

$258K - $270K/yr

Director - Data Product & AI Enablement Job Summary The Director- Data Product & AI Enablement is ... Work closely with engineering, architecture, analytics, and business teams to deliver scalable ...

New

Astrana Health

Data Engineer (Multiple Levels)

Alhambra, CA · On-site +1

$105K - $200K/yr

This role will report to the Director - Data Engineering and work closely with data analysts, data engineers, data scientists, and clinical leaders to produce deliverables for internal and external ...

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering ...

ServiceNow

Director, Data Strategy & Services

Santa Clara, CA · On-site +1

$173K - $238K/yr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Build the GTM Data Foundation That Powers Personalization & Revenue Acceleration The Director, Data ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in California

Director Data Engineering information

See California salary details

$72K

$192.2K

$250.7K

How much do director data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director data engineering in California is $192,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $249,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What are popular job titles related to Director Data Engineering jobs in California? For Director Data Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in California look for? The top searched job categories for Director Data Engineering jobs in California are:
What cities in California are hiring for Director Data Engineering jobs? Cities in California with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 4% Hybrid, and 22% Remote job distribution, with an average salary of $192,160 per year, or $92.4 per hour.

Director, Data Management

WinMax Systems Corporation

Los Angeles, CA • On-site

Other

Medical, Retirement

Re-posted 6 days ago

Job description

Director, Data Management
Location: Los Angeles, CA (Hybrid, 3 days from office)
This position is open only to candidates who currently reside in Los Angeles, CA
Contract: 5+ Months
 
 
 
Job Description:
Client is seeking a strategic and execution-focused Engineering Leader to lead the enterprise-wide data warehousing practice. This role will be responsible for leading the engineering aspect of data warehouse initiatives across all business units in terms of design, development and quality making sure the practice adheres to data governance. This position also leads the Data Governance practice and AI drive in the data spaces leveraging AWS Redshift, Informatica and Claude AI.  It also defines data security and adheres to compliance rigors across data needs for all business units. You will partner closely with Technology, Risk, Compliance, and Product teams to drive data quality, lineage, and stewardship initiatives that support regulatory obligations and business growth.
 
Key Responsibilities:
  • Lead the design, development and optimization of data warehouse solutions using AWS Redshift
  • Define and execute the enterprise data strategy, architecture roadmap and modernization initiatives.
  • Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.
  • Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams leveraging Informatica IDMC
  • Ensure high availability, performance tuning, Scalability and reliability of data platforms and pipelines.  
  • Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.
  • Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models.
  • Ensures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.
  • Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders.
  • Leading and coordinating the design and operationalization of Data Governance capabilities like data lineage, data catalog, data quality, etc.
  • Problem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention.
  • Write, test and produce production grade ETL data pipeline code in financial services without relying on testing by other groups.
  • Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
  • Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations, and automation.
  • Integrate test suites into CI/CD pipelines (Jenkins, Github).
  • Metadata & Lineage Management: Oversee the implementation of tools and processes for metadata capture, data lineage tracking, and cataloging. Ensures data quality, completeness and consistency through carious quality checks and monitoring.
  • Lead data governance rigors related to data practice in the company establishing data governance framework, policies and procedures
  • Maintain documents related to data mapping and logic
  • Partner with Data Analytics team, business and compliance teams to ensure adherence to regulatory requirements, data privacy and security standards
  • Lead governance initiatives related to AI model usage, ethical AI practices and responsible on data utilization
  • Partner with business and business teams driving generative AI initiatives. Evaluate and implement AI driven data management capabilities including automation, data classification and governance., Lead and mentor a large team of data engineering team
  • Partner with executive leadership and business stakeholders to align data initiatives with strategic projects.
  • Manage vendor relationships with AWS and Informatica, Project budgets and technology evaluations.
  • Cross-Functional Leadership: Partner with Finance, HR, and Product to ensure data governance supports cost optimization, internal mobility, and product alignment goals
  • Change Management: Strengthen compliance oversight and accountability over change management processes impacting data
  • Enterprise Data Security: Partners with CISO and develop measures to protect sensitive customer data from unauthorized access or breaches.
Required Qualifications:
  • Bachelors and/or masters degree in computer science, Computer Engineering or related field preferred.
  • 10+ years of experience in enterprise Datawarehouse, data engineering or analytics platforms
  • 5+ years in leadership or management roles overseeing enterprise data teams
  • Strong hands-on experience with
  • AWS Redshift
  • Informatica IDMC
  • Cloud based ETL/ELT architecture
  • SQL Optimization
  • Data Lineage
  • Data Quality
  • Experience in implementing data governance programs
  • Strong understanding of Data Modeling
  • Metadata Management
  • Data Quality Frameworks
  • Data Security and compliance standards
  • Excellent Communication, executive stakeholder management skills and the ability to navigate relationships across business units.
  • 3+ years of development experience with Python scripting experience.
  • Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).
  • Demonstrated expertise in performance tuning in various DB environments with large volumes of data.
  • Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools.
  • Expertise in understanding complex business needs, analyzing, designing, and developing solutions.
  • Experience with metadata management, data lineage tools, and data quality frameworks.
  • Deep understanding of regulatory frameworks (e.g., FRB, BSA/AML, UDAAP).
  • Familiarity with cloud platforms (AWS, Azure) and open-source governance.
Preferred Qualifications:
  • Financial technology domain knowledge
  • Microsoft Azure Data Engineer or other cloud certifications
  • Ability to work in the U.S. without sponsorship
  • Ability to meet the location requirement outlined above
Pay Transparency: "The expected pay range for this position is $100.00–$108.00 per hour. Final compensation will be determined based on experience, skills, and qualifications. Non-exempt employees are eligible for overtime. Full-time employees are eligible to select from different benefits packages. Packages may include medical, 401(k) without employer match. Paid Sick leave is provided based on state or local laws."
 
 
 

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