Director of Engineering, Investment Data & Analytics

HarbourVest Partners•Boston, MA

1d•$220,000 - $230,000•Hybrid

About The Position

HarbourVest’s 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 partners with investors and quantitative researchers to develop technology-driven investment processes and address industry problems, including AI-driven digitization of unstructured data and systematic monitoring of private equity portfolios. The Director combines hands-on technical depth with ownership of major platform domains. The role translates complex investment problems into scalable data systems that reach production, leads architecture and design decisions, sets engineering standards, develops engineers, and partners with investment and research teams to encourage adoption of delivered solutions. This is a hybrid position. The employee receives 18 remote workdays per quarter, subject to manager approval. The base salary range is $220,000–$230,000 USD. The role is eligible for a discretionary annual bonus based on individual and firm performance and may include long-term reward programs. HarbourVest also 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 for compensation and benefits 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.
3–5 years of technical project leadership experience, partnering directly with investment, finance, and operations teams.

Nice To Haves

8 or more years of data engineering and software delivery experience.
Bachelor of Science or equivalent in Computer Science.
Master of Science or equivalent in Computer Science.

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 practical judgment.
Partner with investors and researchers to turn ambiguous investment problems into working technical solutions.
Lead architecture and design decisions within the assigned platform domain.
Lead significant technical workstreams end-to-end and deliver data products used by investment, finance, or operations teams.