Director of Engineering, Investment Data & Analytics
AI summary of the role
HarbourVest's Quantitative Investment Science group seeks a hands-on Lead Data Engineer to own and deliver the private equity data platform.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation
- Mentor team members on software and data engineer guidelines and processes
- Lead work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes
- Implement and deliver data quality pipeline frameworks and data warehouse pipelines and modeling
What you’ll bring
- Demonstrated ability leading Data Engineering and Analysis teams
- Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets
- Proficiency in MSSQL or equivalent SQL RDBMS
- Proficiency in Python
Technologies
MSSQL · Python · DBT · Azure Data Factory · MS Synapse · Snowflake · CI/CD · ETL · SaaS · Scrum/Agile
About HarbourVest
Independent private-markets manager giving institutional and wealth clients access to primaries, secondaries, co-investments, infrastructure, real assets, and private credit.
Private Late · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of guiding software projects to successful production. You should have extensive experience with private equity financial data and an entrepreneurial approach. You will build scalable data systems that directly support investment, fund, and portfolio decision-making. The ideal candidate is someone who is: A self-starter with a love for technology, software application delivery, and mathematical applications!
More from the 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. Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of guiding software pr [... source excerpt omitted ...] l, and problem-solving skills coupled with outstanding attention to detail A passion for finance and financial markets! A track record of successful SaaS software delivery What you will do: Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation purposes Mentor team members on software and data engineer guidelines and processes Lead work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes Involved in testing and deploying internal data quality applications Implement and delivery data quality pipeline framew [... source excerpt omitted ...] ybrid Salary Range $180,000.00 - $270,000.00 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 g
Employer postings · Data from · Sources