Data Engineering Manager Jobs in California
Data Engineering Manager jobs in California are among the most active in the country, with strong demand concentrated in technology, financial services, healthcare, and media across seniority levels from lead engineer through senior director. San Francisco, San Jose, and Los Angeles are the largest hiring metros, with companies like Google, Meta, and Kaiser Permanente maintaining deep, sustained engineering teams in the state. The most in-demand specializations include cloud data platform architecture, real-time streaming pipelines, and ML infrastructure. Find a role that fits below and apply directly.
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Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Operations team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across Data and AI domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job Responsibilities
- Sets the direction for Data and AI technology platforms.
- Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
- Enable existing or new data applications and related data models to be ready for consumption by AI Agents
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Experience developing or leading large or cross-functional teams of Data and AI technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience leading projects supporting complex data system design, data quality testing, and operational stability
- Ability to influence and drive change across technology and business teams
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Strong data engineering foundations including experience developing and managing complex data models, extensible ETL/ELT patterns and multi-modal Search techniques
- Proficiency with the modern data stack: SQL plus at least one general-purpose language (commonly Python/Java/Scala)
- Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services.
- Data quality & observability mindset: automated tests, monitoring/alerting, SLAs/SLOs, lineage, and incident response basics.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience with hiring, developing, and recognizing talent
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Operations team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across Data and AI domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job Responsibilities
- Sets the direction for Data and AI technology platforms.
- Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
- Enable existing or new data applications and related data models to be ready for consumption by AI Agents
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Experience developing or leading large or cross-functional teams of Data and AI technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience leading projects supporting complex data system design, data quality testing, and operational stability
- Ability to influence and drive change across technology and business teams
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Strong data engineering foundations including experience developing and managing complex data models, extensible ETL/ELT patterns and multi-modal Search techniques
- Proficiency with the modern data stack: SQL plus at least one general-purpose language (commonly Python/Java/Scala)
- Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services.
- Data quality & observability mindset: automated tests, monitoring/alerting, SLAs/SLOs, lineage, and incident response basics.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience with hiring, developing, and recognizing talent
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 135+ Data Engineering Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in California
Where California roles are concentrated, by current openings.
Data Engineering Manager Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple17
- Google10
- Meta6
- DoorDash6
- NVIDIA3
Top Industries Hiring
- Technology & Software20
- Electronics & Hardware6
- Banking & Financial Services4
- Biotechnology & Pharmaceuticals3
- Science & Research2
What California Employers Look For
The qualifications that appear most often in data engineering manager jobs across California.
- Bachelor's or master's degree in Computer Science, Data Engineering, or a related field
- Five or more years of data engineering experience with at least two in a lead or management role
- Hands-on proficiency with cloud data platforms such as Google Cloud, AWS, or Azure
- Experience building and maintaining large-scale data pipelines using Apache Spark or similar tools
- Ability to lead cross-functional teams and collaborate with product, analytics, and ML engineering
- Strong working knowledge of data warehouse design, data modeling, and query optimization
Data Engineering Manager Jobs in California: Frequently Asked Questions
How do you become a data engineering manager in California?
The path to data engineering manager in California typically starts with several years as a senior data engineer, followed by a lead or staff engineer role before moving into management. California employers, especially in tech and healthcare, look for candidates who have architected large-scale data systems and have demonstrated people leadership. No state-issued license is required. A strong portfolio of pipeline projects and cloud certifications from Google, AWS, or Azure carry significant weight in California hiring decisions.
Which companies hire data engineering managers in California?
Employers hiring data engineering managers in California right now include Apple, Google, and Meta, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters and large healthcare systems means demand is broad, with particularly active hiring across the San Francisco Bay Area and Greater Los Angeles.
Which California cities have the most data engineering manager jobs?
San Francisco, Sunnyvale, and Irvine have the most data engineering manager openings in California. The Bay Area dominates because it is home to the headquarters of major technology and cloud infrastructure companies, while Los Angeles draws from a growing mix of media, fintech, and enterprise technology employers that have expanded their data teams significantly in recent years.
Are there remote data engineering manager jobs in California?
Yes, and more than most fields. Data engineering management is well suited to remote and hybrid arrangements because the work centers on code, cloud infrastructure, and virtual collaboration rather than on-site equipment. About 66% of data engineering manager openings tied to California are remote or hybrid as of September 2026, reflecting how normalized distributed engineering teams have become at California-based employers. Strategic and architecture-heavy responsibilities tend to remain the most remote-compatible parts of the role.
How can I get hired as a data engineering manager in California with little or no experience?
The most realistic entry path is moving laterally from a senior data engineering or analytics engineering role into a team lead position, which large California employers like Salesforce, Apple, and Wells Fargo often use as a stepping stone to full management. Building a portfolio that demonstrates end-to-end pipeline ownership and mentoring junior engineers strengthens your case considerably. Pursuing a cloud certification from Google or AWS signals readiness for the technical scope California employers expect from managers entering the role without prior formal management experience.
Where can I find and apply to data engineering manager jobs in California?
You can find and apply to data engineering manager jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your experience and location, then apply directly to each one.
See All 135+ Data Engineering Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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