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Vice President of Engineering, Investment Data & Analytics

Boston

Pay
$245,000–275,000/year · BaseAnnual period assumed — pay source
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 eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being 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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Work setup
Hybrid stated — work setup source
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. About Investment Data and Analytics
Read the full posting
Employment
Unconfirmed
Apply at Harbourvest

What you’ll bring

All qualifications

Core experience

  • Deep experience designing, building, and operating modern, cloud data platforms at scale, including batch and near real-time data processing.
  • Bachelor of Science (B.S) or equivalent in Computer Science
  • 5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams
  • Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
  • Master of Science (M.S) or equivalent in Computer Science
  • Expertise in data modeling, ETL/ELT frameworks, data quality, testing, observability, performance tuning, and cost optimization.

Preferred experience

  • 10+ Years of Data Engineering and software delivery experience preferred
Qualification wording
Deep experience designing, building, and operating modern, cloud data platforms at scale, including batch and near real-time data processing.
Bachelor of Science (B.S) or equivalent in Computer Science
5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams
Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
Master of Science (M.S) or equivalent in Computer Science
Expertise in data modeling, ETL/ELT frameworks, data quality, testing, observability, performance tuning, and cost optimization.
10+ Years of Data Engineering and software delivery experience preferred

Tools in this posting

  • Python
  • SQL
  • Azure
  • dbt
  • Snowflake
  • Airflow
  • Dagster
Source — Tool mentions in context
- 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.

About Harbourvest

Our organization’s mission is to build technology that lets the firm systematize and scale its understanding of private markets and management of our funds.

In the employer’s words · Read in context

Job description

View original posting ↗

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.

About Investment Data and Analytics

Our organization’s mission is to build technology that lets the firm systematize and scale its understanding of private markets and management of our funds. Our team works side-by-side with investors and quantitative researchers to innovate technology-driven investment processes; solve broad industry problems ranging from AI driven digitization of unstructured data to systematic monitoring of private equity portfolios.

The Vice President role will combine deep hands-on technical expertise with the ability to mentor senior engineering talent to deliver complex, high-impact investment data and analytics systems into production. This position requires active technical engagement in architecture, design decisions, and critical problem-solving, while building an operating model that delivers consistently at scale.

What you will do:

  • Data engineering — work with financial/economic datasets and build systems around them using modern data stacks.

  • Infrastructure/platform engineering — build reliable systems supporting investment workflows.

  • Data Quality — standardize and maintain investment data sets ready for consumption.

  • Team Building — Build, lead, mentor, and scale a high-performing engineering and product organization with strong ownership, accountability, and continuous improvement.

  • And ... Problem solving — take unsolved industry business/investment problems and figure out how technology can solve it.

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/analytics-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 eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being 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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on harbourvest.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

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Source excerpts

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Pay
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 eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being 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.
Location & working pattern

Boston

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. About Investment Data and Analytics
More source context
- 5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams #LI-Hybrid Base Salary Range
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jun 29, 2026
Recorded sightings
78
Last seen by us
Oct 8, 2026

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