Director of Engineering, Investment Data & Analytics

Posted Yesterday
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Boston, MA, USA
Hybrid
220K-230K Annually
Senior level
Fintech • Financial Services
The Role
Leads engineering for investment data and analytics platforms, designing production data pipelines, models, cloud infrastructure, and quality systems. Owns architecture and technical standards, mentors engineers, conducts design and code reviews, and partners with investment and research teams to convert complex problems into scalable technical solutions. The role also oversees data lineage, observability, testing, production support, and delivery of data products used by investment, finance, and operations teams.
Summary Generated by Built In

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 Director role combines hands-on technical depth with ownership of major platform domains, translating complex investment problems into scalable data systems that reach production. This position requires leading architecture and design decisions within your domain, setting engineering standards, and developing engineers — while partnering closely with investment and research teams to ensure what we build gets adopted. 


What you will do: 

  • Data engineering — own the design and delivery of pipelines and data models across financial/economic datasets using modern data stacks. 
  • Infrastructure/platform engineering — lead the build-out of reliable, secure cloud data systems supporting investment, fund, and portfolio workflows. 
  • Data Quality — establish standards for accuracy, lineage, observability, and service levels across core investment datasets. 
  • Technical leadership — mentor engineers, lead design and code reviews, and raise the engineering bar through standards and practical judgment. 
  • And ... Problem solving — partner with investors and researchers to turn ambiguous investment problems into working technical solutions. 

What you bring: 

  • 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 the judgment to make sound architectural trade-offs. 
  • Track record leading significant technical workstreams end-to-end, mentoring engineers, and delivering data products used by investment, finance, or operations teams. 

Education Preferred 

  • Bachelor of Science (B.S) or equivalent in Computer Science 
  • Master of Science (M.S) or equivalent in Computer Science 

Experience 

  • 8+ Years of Data Engineering and software delivery experience preferred 
  • 3-5 Years of Technical Project Leadership experience, partnering directly with investment, finance, and operations teams 

#LI-Hybrid


Base Salary Range

$220,000.00 - $230,000.00

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.

Skills Required

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

HarbourVest Partners Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about HarbourVest Partners and has not been reviewed or approved by HarbourVest Partners.

  • Strong & Reliable Incentives — Incentives are portrayed as strong in certain teams and senior roles, with high bonus potential contributing meaningfully to total compensation. Overall packages can feel solid where variable pay is emphasized.
  • Healthcare Strength — Benefits are described as comprehensive, including medical, dental, vision, disability, life insurance, EAP, wellness programs, and fitness reimbursement. U.S. coverage explicitly includes domestic partners.
  • Parental & Family Support — Offerings include paid parental leave, adoption assistance, bereavement leave, paid volunteer time, and U.S. emergency back‑up childcare. These supports are positioned as competitive for the sector.

HarbourVest Partners Insights

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The Company
HQ: Boston, MA
904 Employees
Year Founded: 1982

What We Do

HarbourVest is an independent, global private markets firm with 40 years of experience and more than $92 billion assets under management as of December 31, 2021. Our interwoven platform provides clients access to global primary funds, secondary transactions, direct co-investments, real assets and infrastructure, and private credit.

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