Vice President, Data Engineering

Options Consulting Solutions

Boston (MA)

Hybrid

USD 221,000 - 270,000

Full time

24 hours ago
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Benefits offered by this job

Bonus up to 60%
Hybrid work model
Benefits & 401K

Job summary

Options Consulting Solutions seeks a VP, Data Engineering in Boston to lead and shape data platforms for investment data and analytics. You will architect, design, and deliver scalable data systems while actively engaging in hands-on technical decisions.

You will build and mentor a high‑performing team, standardize data quality, and partner with investors and researchers to drive data‑driven investment processes.

Qualifications

  • 10+ years in data engineering with at least 5 years in technical leadership.
  • Bachelor or Masters in Computer Science or Computer Engineering.
  • Experience in investment management/private equity/asset management industries.
  • Experience designing and operating modern cloud data platforms at scale.

Responsibilities

  • Lead data engineering initiatives and architecture for investment data systems.

Skills

Leadership
Data architecture
Data quality
Cloud data platforms
Mentoring
Stakeholder collaboration

Education

Bachelor's or Masters in CS/CE

Tools

Snowflake
DBT
Dagster
Airflow
Azure data tooling
SQL
Python

Job description

Our client is a global Private Equity firm based in Boston. The firm invests in all types of private equity funds, including venture capital and leveraged buyout funds in addition to directly in operating companies. The organization’s mission is to build technology that lets the firm systematize and scale its understanding of private markets and management of their funds. The Data Engineering team works alongside 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.

Company Perks and Rewards
  • $245,000 - $275,000 base salary + up to 60% discretionary annual bonus
  • Benefits, 401K, PTO and other perks
  • Hybrid work model (4 days in office)
The Role

The VP, Data Engineering role will combine superior hands‑on technical expertise with strategic engineering leadership to deliver complex, high‑impact investment data and analytics systems into production. This position requires active technical engagement in architecture, design decisions, and critical problem‑solving, while building an operating model that delivers consistently at scale.

  • Data Engineering — work with financial/economic datasets and build systems around them using modern data stacks.
  • Data Quality— standardize and maintain investment data sets ready for consumption.
  • Team Building — Build, lead, mentor, and scale a high‑performing engineering and product organization with strong ownership, accountability, and continuous improvement.
Your Qualifications
  • 10+ years’ experience in data engineering with at least 5 years in a technical leadership role
  • Bachelor or Masters Degree in Computer Science or Computer Engineering
  • Demonstrated work experience in the investment management, private equity or asset management industries
  • 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/analytics‑centric platforms end‑to‑end in production

Existing Position Vacancy: Yes

Options Consulting Solutions is an equal opportunity employer and welcomes applications from all individuals. Applicants selected for an in‑person interview will be asked whether specific accommodations are needed to support a personal disability.

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