# Options Consulting Solutions — Vice President, Data Engineering

- Generated: 2026-09-01 09:47:33 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4460044942/
- User-provided LinkedIn posting: https://www.linkedin.com/jobs/view/4460044942/
- Posting time: approximately 2026-08-31 03:47 PM EDT (estimated from LinkedIn's '18 hours ago' at capture)
- Applicants: Be among the first 25 applicants
- Work model/location: Hybrid — Boston, Massachusetts; four days per week in office; LinkedIn location: Boston, MA
- Compensation: $245,000-$275,000 base plus up to 60% discretionary bonus
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 55%

## Direct-match strengths

Data engineering strategy, cloud data platforms, financial-services customer exposure, SQL, Python, Snowflake, batch/streaming systems, quality, observability, cost control, team building, and end-to-end production delivery.

## Hard or material gaps

Hard domain, degree, and stack gaps: demonstrated investment-management/private-equity/asset-management employment is required and unsupported; the role requires a CS/computer-engineering degree; and deep Azure, dbt, Dagster/Airflow, and investment-data operating experience are not documented. A relocation package is offered but relocation is not required for this Boston role.

## Evidence map

1. Ten years of data engineering and technical leadership (weight 3, evidence score 3/3) — Direct long-term data, cloud, architecture, and leadership evidence.
2. Investment/private-equity/asset-management experience (weight 3, evidence score 1/3) — Financial-services customers are direct; target operating domain is unsupported.
3. Modern cloud data platforms and near-real-time pipelines (weight 3, evidence score 2/3) — Direct AWS, Snowflake, Spark, Kafka, APIs, batch, and streaming evidence.
4. SQL, Python, data quality, testing, and observability (weight 3, evidence score 3/3) — Direct source-supported experience.
5. Snowflake, dbt, Dagster/Airflow, and Azure (weight 3, evidence score 1/3) — Snowflake is supported; dbt, Dagster/Airflow, and Azure are not claimed.
6. Build and lead engineering/product organization (weight 3, evidence score 3/3) — Direct team building and product-platform delivery.
7. CS or computer-engineering degree (weight 3, evidence score 0/3) — Degrees are in molecular biology/microbiology and immunology.

## Full normalized job description

Vice President, Data Engineering
Boston, MA (Hybrid)
Permanent Full Time
$245,000 - $275,000
The Company
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)
Relocation package available
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.
Infrastructure/Platform Engineering — build reliable systems supporting investment workflows.
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
I really look forward to hearing from you, but please understand that I will only be contacting those that are applicable for the role!
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.
You can also find more jobs that may be suited to you on the Options Consulting Solutions
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## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Archived JD capture: https://files.keithsteward.com/Options_Consulting_Solutions/Keith_Steward_Vice_President_Data_Engineering_4460044942_JD_capture.md
- Google Drive used: No