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Vice President Data Engineering Jobs (NOW HIRING)

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Accuity

VP, Data Architecture

Mount Laurel, NJ · On-site

Vice President, Data Architecture Department: Technology - Data Architecture Location: Remote FLSA Status: Exempt People Leader: Yes Travel: Strategic Data Leadership: Defines and executes data ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

PFSbrands

Vice President, Data

Holts Summit, MO

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

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All JobsVice President Data Engineering Jobs

Vice President Data Engineering information

See salary details

$112.5K

$215.6K

$398.5K

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

As of Jul 18, 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.
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Vice President Data Engineering jobs near you
Vice President, Data Engineering

Vice President, Data Engineering

HarbourVest Partners, LLC

Boston, MA • On-site

$245K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.
This is a senior technical leadership role responsible for owning platform outcomes end-to-end-architecture, delivery, reliability, and adoption-while directly influencing how data enables investment decision-making across the firm. The VP will combine deep hands-on technical expertise with the ability to mentor senior engineers, scale teams, and deliver complex, high-impact systems in production.
Unlike pure management roles, this position requires active technical engagement in architecture, design decisions, and critical problem-solving, while building a team and operating model that delivers consistently at scale.
The ideal candidate is someone who is:
  • A senior technical leader who can operate strategically while staying hands-on in architecture, design, and critical problem-solving.
  • Accountable for end-to-end platform outcomes across architecture, delivery, reliability, adoption, and operational excellence.
  • Comfortable leading high-impact data engineering work that supports investment decision-making across the firm.
  • A strong mentor and team builder who raises the technical bar, develops senior engineers, and scales teams effectively.
  • Pragmatic in balancing speed, durability, governance, and production-quality expectations in complex data environments.

What you will do:
  • Own and evolve a production-grade, cloud-based data platform supporting deal sourcing, diligence, portfolio monitoring, reporting, and analytics.
  • Lead architecture and design decisions across modern data stacks, including Snowflake, DBT, orchestration tools, Azure, and related cloud-native capabilities.
  • Ensure data engineering capabilities are tightly integrated with application data needs, including trusted data supply, clear data contracts, reliable pipelines, and production-ready consumption patterns.
  • Ensure data quality, integrity, lineage, observability, SLAs, scalability, reliability, and performance across critical datasets and pipelines.
  • Build, lead, mentor, and scale a high-performing data engineering organization with strong ownership, accountability, and continuous improvement.
  • Drive multi-functional delivery with investment, finance, and operational partners, translating business needs into trusted, usable data products.

What you bring:
  • Deep experience designing, building, and operating modern, cloud data platforms at scale, including batch and near real-time data processing.
  • Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
  • Expertise in data modeling, ETL/ELT frameworks, data quality, testing, observability, performance tuning, and cost optimization.
  • Proven track record leading data engineering teams, mentoring senior engineers, and delivering data-centric platforms end-to-end in production.

Education Preferred
  • Bachelor of Science (B.S) or equivalent in Computer Science
  • Master of Science (M.S) or equivalent in Computer Science

Experience
  • 10+ Years of Data Engineering and software delivery experience preferred
  • 5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams

#LI-Hybrid
Base Salary Range
$245,000.00 - $275,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

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