1

Vp Of Data Engineering Jobs (NOW HIRING)

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data ... Strong data engineering foundations - deep enough technical understanding to review architecture ...

VP, Data Engineering

San Francisco, CA ยท On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization, owning the strategy, architecture, and operation of the data platforms, pipelines, and ...

VP Engineering

New York, NY ยท On-site +1

$260K - $320K/yr

VP Engineering The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative-enabling a holistic view of an account's research and consumption behavior. From this ...

VP Engineering

New York, NY ยท On-site +1

$260K - $320K/yr

VP Engineering The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative-enabling a holistic view of an account's research and consumption behavior. From this ...

Vice President, Data & AI

Henrico, VA ยท On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Engineering, and AI functions. * Enable success of federated, business-embedded data resources ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ... Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded ...

This role reports into the SVP of Engineering and sits at the intersection of methodology, product ... Develop and lead our team of data scientists * Partner with and manage engagements with external ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ... Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded ...

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data ... Obsess over the "developer experience," building self-service capabilities and abstractions that ...

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data ... Obsess over the "developer experience," building self-service capabilities and abstractions that ...

next page

Showing results 1-20

Vp Of Data Engineering information

See salary details

$112.5K

$215.6K

$398.5K

How much do vp of data engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for vp of data engineering in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What does a VP of Data Engineering do?

A VP of Data Engineering is a senior executive responsible for leading and overseeing the data engineering team within an organization. Their primary duties include setting the vision and strategy for data infrastructure, ensuring data quality and security, and enabling data-driven decision-making across the company. They collaborate with other leaders to align data initiatives with business goals, manage large-scale data projects, and mentor engineering teams. Additionally, they stay current with emerging technologies to keep the organization's data capabilities competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Engineering?

To thrive as a VP of Data Engineering, you need deep expertise in data architecture, engineering best practices, and team leadership, typically backed by a degree in computer science and extensive industry experience. Familiarity with big data platforms (like Hadoop and Spark), cloud services (AWS, Azure, GCP), and data pipeline orchestration tools is essential, and certifications in cloud or data engineering are highly valued. Outstanding communication, strategic vision, and the ability to mentor and inspire teams set top performers apart. These skills enable effective scaling of data infrastructure, alignment with business goals, and fostering high-performing, innovative engineering teams.

What are some common challenges faced by a VP of Data Engineering, and how can they be addressed?

A VP of Data Engineering often encounters challenges such as scaling data infrastructure to meet business needs, ensuring data quality and consistency, and aligning data initiatives with organizational goals. Addressing these challenges typically involves fostering close collaboration between engineering, analytics, and business teams, as well as implementing robust data governance frameworks. Proactive communication, setting clear priorities, and investing in team development are also essential for overcoming obstacles and driving data strategy effectively.

What cities are hiring for Vp Of Data Engineering jobs?

Cities with the most Vp Of Data Engineering job openings:

What states have the most Vp Of Data Engineering jobs?

States with the most job openings for Vp Of Data Engineering jobs include:

What are popular job titles related to Vp Of Data Engineering jobs?

For Vp Of Data Engineering jobs, the most frequently searched job titles are:

Infographic showing various Vp Of Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

VP of Data Engineering

Los Angeles, CA โ€ข On-site

Strategic Legal Practices
51 - 200 employees

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

About Strategic Legal Practices

Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within California, representing clients in a range of consumer protection and civil litigation matters. Our Firm measures our success by how well our clients do. We are armed with a group of experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud litigators in California. The best predictor of performance is our record of achievement. We are proud to have successfully helped thousands of clients in their pursuit against car manufacturers. Our success rate is unmatched by any other Firm.

Position Summary

The Vice President of Data is responsible for building and leading the firm's data strategy, analytics, and reporting infrastructure to support legal operations, firm leadership, and business growth. This role owns enterprise data systems, reporting, and insights - translating complex data into actionable intelligence for attorneys, leadership, and operational teams.

Essential Duties & Responsibilities1. Data Strategy & Governance
  • Develop and execute a firm-wide data strategy aligned with business goals, growth plans, and operational efficiency.
  • Serve as the senior leader responsible for data architecture, analytics, and reporting across all departments.
  • Establish data priorities that support litigation outcomes, client performance, financial forecasting, and resource allocation.
  • Advise executive leadership using data-driven insights to inform strategic decisions.
2. Engineering Leadership & Execution
  • Lead and scale the Firm's data infrastructure, analytics platforms, and software systems.
  • Oversee the development of data pipelines, reporting tools, and analytics solutions that drive efficiency and insight.
  • Ensure systems are reliable, scalable, and aligned with long-term technology strategy.
  • Drive delivery of high-quality solutions on time and within scope.
3. Technology Roadmap & Innovation
  • Develop and maintain a forward-looking technology roadmap in collaboration with cross-functional leaders.
  • Identify and implement modern data and cloud architectures (e.g., analytics platforms, automation tools, AI-driven solutions).
  • Evaluate and deploy emerging technologies to improve performance, reduce costs, and enhance scalability.
  • Lead initiatives related to AI agents, analytics automation, and workflow optimization.
4. Team Development & Organizational Design
  • Recruit, mentor, and retain a team of data engineers, analytics professionals, and software specialists.
  • Design organizational structures that support scalability, operational efficiency, and continuous improvement.
  • Foster a culture of accountability, technical excellence, and collaboration.
  • Conduct performance evaluations and support professional development.
5. Cross-Functional Collaboration
  • Partner with business leaders across legal operations, finance, HR, and technology to align data initiatives with firm priorities.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Support data-driven decision-making across departments.
6. Operational Excellence & Metrics
  • Monitor and optimize engineering KPIs, infrastructure performance, and data reliability.
  • Improve platform efficiency, reduce redundancy, and manage operational costs.
  • Ensure analytics and reporting solutions meet business needs and support strategic decision-making.
7. AI & Automation Enablement
  • Lead the implementation of AI-driven intelligence and automation to improve productivity and reduce operational burden.
  • Identify opportunities where data and automation can enhance Firm workflows and outcomes.
  • Measure and report the impact of AI and automation initiatives.
8. Data Governance & Quality
  • Establish firm-wide standards for data accuracy, consistency, and ownership.
  • Define data governance processes (naming conventions, access controls, validation rules).
  • Ensure data is secure and appropriately accessible across teams.
  • Partner with Legal, IT, and Compliance teams on privacy and security requirements (without owning legal compliance).

Requirements

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Extensive experience in data engineering, analytics platforms, and enterprise data systems.
  • Proven leadership experience managing technical teams and complex initiatives.
  • Strong understanding of data governance, security, and compliance.
  • Ability to operate at an executive level while remaining hands-on when needed.

Preferred

  • Advanced degree in a related field.
  • Experience in professional services, legal, or regulated environments.
  • Experience implementing AI, automation, or advanced analytics solutions.

Compensation: $180,000 - $220,000 per year

This role is on site in Century City/Los Angeles

Benefits

We're committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including:

  • 401(k) with Employer Match - Plan for your future with confidence and company support.
  • Health, Dental, and Vision Insurance - Comprehensive coverage to keep you and your family healthy.
  • Short-Term, Long-Term Disability & Life Insurance - Financial protection for life's unexpected events.
  • Paid Parking - Convenient and covered, so you can focus on your day.
  • Generous Paid Time Off - Ample time to rest, recharge, and take care of personal matters.
  • Employee Referral Program - Earn rewards for introducing talented individuals to our team.
  • Employee Assistance Program (EAP) - Confidential resources for personal and professional support.
  • Employee Discount Program - Access to exclusive savings on a variety of products and services.