VP, Data Engineering: Scale Investment Data

Options Consulting Solutions

Boston (MA)

Hybrid

USD 245,000 - 275,000

Full time

2 days ago
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Benefits offered by this job

Base salary + bonus
Benefits and PTO
401K plan
Hybrid work model

Job summary

Options Consulting Solutions is seeking a VP of Data Engineering based in Boston to lead hands-on technical work and strategic engineering leadership for investment data platforms. You will shape architecture, design decisions, and scalable production systems for complex analytics and data delivery.

The role requires 10+ years in data engineering with leadership experience, strong SQL/Python skills, and deep experience with Snowflake, DBT, and orchestration tools.

Qualifications

  • Bachelor’s or Master’s Degree in Computer Science or Computer Engineering.
  • 10+ years of data engineering experience with at least 5 years in technical leadership.
  • Experience in investment management, private equity or asset management preferred.
  • Cloud data platforms design, build, and operate at scale with batch and near real-time processing.
  • Proficiency with SQL, Python, Snowflake or equivalent, DBT, Dagster or Airflow, and Azure data tooling.

Responsibilities

  • Data Engineering - build systems for financial/economic datasets using modern data stacks.
  • Data Quality - standardize and maintain investment data sets for consumption.
  • Team Building - lead, mentor, and scale a high-performing engineering team with ownership.

Skills

Data engineering leadership
SQL
Python
Snowflake
DBT
Airflow/Dagster

Education

Bachelor’s or Master’s in Computer Science or Computer Engineering

Tools

Snowflake
DBT
Dagster
Airflow
Azure Data Tools

Job description

Options Consulting Solutions is seeking a VP of Data Engineering based in Boston to lead hands-on technical work and strategic engineering leadership for investment data platforms. You will shape architecture, design decisions, and scalable production systems for complex analytics and data delivery.

The role requires 10+ years in data engineering with leadership experience, strong SQL/Python skills, and deep experience with Snowflake, DBT, and orchestration tools.

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