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Vice President Data Engineering Jobs (NOW HIRING)

Chasm Select

VP Cloud Data Engineering

New York, NY · On-site +1

$196K - $253K/yr

Description ChasmTeam Confidential Search - VP Cloud Data Engineering November 10, 2025 About the Role: As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams ...

Accordion USA

Vice President, Data Platform

San Francisco, CA · On-site +1

$112K - $200K/yr

Vice President, Data Platform Chicago; Dallas; New York; San Francisco Company Overview We are the ... Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for ...

Accordion USA

Vice President, Data Platform

Dallas, TX · On-site +1

$112K - $200K/yr

Vice President, Data Platform Chicago; Dallas; New York; San Francisco Company Overview We are the ... Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for ...

Accordion USA

Vice President, Data Platform

Chicago, IL · On-site +1

$112K - $200K/yr

Vice President, Data Platform Chicago; Dallas; New York; San Francisco Company Overview We are the ... Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for ...

Updater

VP, Data

We're seeking a VP of Data to materially elevate how we make data-driven decisions across the ... Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ...

Updater

VP, Data

New York, NY

Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ... Data can be consumed by humans and AI models with the correct semantic boundaries. Key ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a ... programming languages, analytical libraries, and business intelligence tools Natural leadership ...

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Vice President Data Engineering information

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$112.5K

$215.6K

$398.5K

How much do vice president data engineering jobs pay per year?

As of Jun 8, 2026, the average yearly pay for vice president 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 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 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 the key skills and qualifications needed to thrive as a Vice President of 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 are some common challenges faced by a Vice President of 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 cities are hiring for Vice President Data Engineering jobs? Cities with the most Vice President Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Vice President Data Engineering jobs? States with the most job openings for Vice President Data Engineering jobs include:
What job categories do people searching Vice President Data Engineering jobs look for? The top searched job categories for Vice President Data Engineering jobs are:
Vice President Data Engineering jobs near you
Infographic showing various Vice President Data Engineering job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 24% Full Time, 61% Part Time, 3% Temporary, and 6% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

VP Cloud Data Engineering

Chasm Select

New York, NY • On-site, Remote

$196K - $253K/yr

Full-time

Posted 20 days ago

Job description

Description
ChasmTeam
Confidential Search - VP Cloud Data Engineering
November 10, 2025
About the Role:
As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams, driving innovation and excellence in software, data, and AI. You won't just manage; you'll inspire and empower geographically diverse teams to achieve ambitious goals. Collaborating closely with quality engineers, product owners, and business leaders, you'll oversee the seamless operation of engineering processes to ensure our business objectives are not only met but exceeded. Your leadership will set the tone for success by fostering growth, providing constructive feedback, and unlocking the full potential of our teams.
You will also partner with our visionary CTO on strategic initiatives that shape the future of the company. From scaling our engineering organization to meet evolving needs, to identifying transformative opportunities for innovation and growth, you'll be a key player in steering the company into its next chapter of excellence.
You Will:
  • Communicate boldly and confidently to resonate with executive teams and inspire trust across the organization.
  • Spearhead critical internal initiatives in Quality, Data and Product Engineering, AI, Development Productivity, and Benchmarking.
  • Leverage your deep expertise in Data and AI to establish yourself as a thought leader.
  • Navigate high-stakes customer interactions with credibility and professionalism.
  • Mentor and develop talent, ensuring adherence to architectural strategies, coding standards, and organizational policies.
  • Contribute to and influence software architectural discussions, advocating for consistency and excellence at every level.
  • Identify opportunities to enhance people, processes, and performance within Agile/Scrum teams.
  • Evolve the team's organizational structure for scale (towards upwards of 100 engineers).
  • Commit to securing all confidential data, adhering to the highest standards of data protection, and promoting ethical practices across the team's operations.

What We're Looking For:
  • Bachelor's degree in Computer Science or an equivalent field, advanced degree a plus
  • 15+ years of experience as a software developer, within a minimum of 5 years managing large, global software development teams
  • Solid understanding of software engineering fundamentals with a high level understanding of OO concepts, design patterns, cloud architecture, AI architecture and concepts, MPP architecture and frameworks such as Spark, API's, etc.
  • Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s to 100s of TBs of data)
  • Possess a level of breadth and depth of software development experience that allows for influence and competence in technical discussions with internal and external stakeholders
  • Proven record of success of leading engineering teams towards developing production grade systems supporting enterprise size customers
  • Strong technical experience in Databricks, Snowflake, and FHIR
  • Prior experience working with healthcare data a requirement

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