Position Overview
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 senior technical leadership role is responsible for owning platform outcomes end‑to‑end—including architecture, delivery, reliability, and adoption—while directly influencing how data enables investment decision‑making across the firm.
Location & Work Arrangement
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 four days per week and take one remote day weekly (typically 13 weeks per quarter), leaving five additional remote days to be used as needed.
Responsibilities
- 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.
Qualifications
- 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: Bachelor of Science (B.S.) or equivalent in Computer Science; Master of Science (M.S.) or equivalent in Computer Science preferred.
- 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.
Benefits & Compensation
- Base Salary Range: $245,000.00 – $260,000.00 (USD). This represents one component of total compensation and is provided in accordance with local requirements.
- Eligibility for a discretionary annual bonus based on individual and overall firm performance.
- Potential eligibility for long‑term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs.
HarbourVest is an equal opportunity employer.
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