Director of Engineering, Investment Data & Analytics

HarbourVest Partners•Boston, MA
•Hybrid

About The Position

HarbourVest is seeking a Director of Engineering for Investment Data & Analytics to combine hands-on technical depth with ownership of major platform domains. The role translates complex investment problems into scalable data systems that reach production. The Director leads architecture and design decisions within their domain, sets engineering standards, develops engineers, and partners closely with investment and research teams to promote adoption of the solutions built. The Investment Data and Analytics organization builds technology to systematize and scale the firm's understanding of private markets and management of its funds. The team works alongside investors and quantitative researchers on technology-driven investment processes and industry problems, including AI-driven digitization of unstructured data and systematic monitoring of private equity portfolios. This position has a hybrid work arrangement. Employees receive 18 remote workdays per quarter at their discretion, subject to manager approval. The role's U.S. base salary range is $220,000–$230,000, with eligibility for a discretionary annual bonus. Total compensation may also include long-term reward programs for typically more senior roles. HarbourVest offers a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits, and well-being programs; eligibility varies by position and geography.

Requirements

  • Proven experience designing, building, and operating cloud data platforms in production, including complex batch and incremental processing.
  • Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
  • Depth in data modeling, ETL/ELT frameworks, data quality, testing, observability, and production support, with sound architectural judgment.
  • Track record leading significant technical workstreams end-to-end, mentoring engineers, and delivering data products used by investment, finance, or operations teams.
  • Preferred: 8 or more years of data engineering and software delivery experience.
  • 3–5 years of technical project leadership experience, partnering directly with investment, finance, and operations teams.

Nice To Haves

  • Bachelor of Science (B.S.) or equivalent in Computer Science.
  • Master of Science (M.S.) or equivalent in Computer Science.
  • 8 or more years of data engineering and software delivery experience is preferred.

Responsibilities

  • Own the design and delivery of pipelines and data models across financial and economic datasets using modern data stacks.
  • Lead the build-out of reliable, secure cloud data systems supporting investment, fund, and portfolio workflows.
  • Establish standards for accuracy, lineage, observability, and service levels across core investment datasets.
  • Mentor engineers, lead design and code reviews, and raise engineering standards through sound judgment and practical guidance.
  • Partner with investors and researchers to turn ambiguous investment problems into working technical solutions.
  • Lead architecture and design decisions within the assigned domain and deliver scalable data systems into production.

Benefits

  • Discretionary annual bonus based on individual and overall firm performance.
  • Potential participation in long-term reward programs, typically for more senior-level roles.
  • Retirement contributions.
  • Health insurance.
  • Income protection.
  • Paid time off and leave benefits.
  • Well-being programs.
  • 18 remote workdays per quarter, subject to manager approval.
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