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Vice President Data Engineering Jobs in California

VP Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Reporting to the SVP of Engineering, this leader oversees an engineering organization of approximately 100 professionals across DevOps, platform infrastructure, product engineering, and data ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ...

Role Summary The VP of Data Intake Operations provides end-to-end leadership and accountability for all data intake, data management, data quality, and data sourcing operations supporting Auction.com ...

Head/VP of Engineering

San Francisco, CA · On-site

$250K - $350K/yr

Head / VP of Engineering role We're hiring a strategic and experienced Head / VP of Engineering to ... Make key decisions on system design, cloud infrastructure, data pipelines, and our security and ...

VP of Engineering

Palo Alto, CA · On-site

$211K - $272K/yr

VP of Engineering Palo Alto, CA • Full-time • On-site About Nace AI Nace AI builds trustworthy ... SOC 2, data governance, auditability) * Recruit senior engineering talent and design the org ...

Leads the Data Engineering function within the Enterprise Data & Analytics department by designing ... Partners with the VP, Enterprise Data & Analytics to develop and execute long-term data strategies ...

Showing results 21-40

Vice President Data Engineering information

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.

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

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

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 Vice President Data Engineering jobs in California?

For Vice President Data Engineering jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Vice President Data Engineering jobs?

Cities in California with the most Vice President Data Engineering job openings:

Infographic showing various Vice President Data Engineering 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.

Data Engineering Technical Lead - VP

Axos Bank

San Diego, CA • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Axos Bank
Target Range:
$125,000.00 /Yr. - $150,000.00 /Yr.
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.
Eligible for an Annual Discretionary Cash Bonus Target:
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target:
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.
About This Job
Target Range:
$125,000.00 /Yr. - $150,000.00 /Yr.
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.
Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
Axos Bank is seeking a hands-on VP, Data Engineering Technical Lead to help shape, modernize, and scale our enterprise data platform. This role is central to our mission of transforming legacy data systems into a modern, cloud-native Lakehouse environment that powers analytics, AI, and business intelligence across the organization. As a technical lead, you will design and deliver scalable data pipelines, define data design patterns, enforce engineering standards, and leverage AI-assisted tools to accelerate modernization, improve productivity, and reduce technical debt. You will drive proofs of concept (POCs) and points of view (POVs) to evaluate emerging technologies and frameworks, ensuring that the platform remains innovative, cost-efficient, and future-ready.
Responsibilities
  • Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.
  • Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
  • Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap.
  • Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
  • Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.
  • Enforce engineering excellence: Drive CI/CD, version control, peer reviews, and observability practices across the data platform.
  • Collaborate cross-functionally: Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.
  • Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.
  • Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.

Requirements:
  • Bachelors degree
  • 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
  • Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).
  • Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
  • Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures.
  • Working knowledge of AI-assisted engineering tools for development, observability, or optimization.
  • Proficiency in SQL and one programming language (Python, Scala, or Java).
  • Strong problem-solving, architectural thinking, and collaboration skills.
  • Excellent communicator with the ability to translate technical topics to business stakeholders.

Axos Employee Benefits May Include:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Sick Leave, 3 weeks' Vacation, and Holidays (about 11 a year)
  • HSA or FSA account and other voluntary benefits
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

About Axos
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.
Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).
Learn more about working at Axos
Pre-Employment Background Check and Drug Test:
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.
Equal Employment Opportunity:
Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Job Functions and Work Environment:
While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
E-Verify and Right to Work Notices
Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
IER Right to Work Poster (English/Spanish)
E-Verify Participation Poster (English/Spanish)