Senior Data Engineer – Data Proposition Products

Who is Gen II?

Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best‑in‑class combination of people, process, and technology. Gen II has more than $1.5 trillion in private fund capital assets under administration.

With 13 offices and more than 1,900 employees in the U.S., Canada, the UK, and Europe, we’re looking for do‑ers, problem‑solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives.

Careers mean more at Gen II – more opportunity, more innovation, and more ideas! You’ll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You’ll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us.

Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well‑being.

Gen II is launching multiple data proposition products: extracting clean, validated and normalized data from our fund administration platforms & financial statements and making it available to clients and internal teams as a trusted asset they can depend on and build on. This is a scalable data offering designed to differentiate Gen II in the market—delivering these datasets through our Sensr product, a commercialized analytics portal that differentiates our offering and eliminates client integration overhead.

More strategically, you'll lead the architecture of new data products built on this foundation, collaborating with product and go‑to‑market teams to commercialize platform data into data offerings that drive revenue and competitive advantage.

We are looking for a Senior Data Engineer to lead the extract → validate → normalize → store pipeline. Your mission is to own the journey from raw source data to client‑ready assets. You'll design validation and QC rules in dbt, build normalized schemas in Snowflake, and ensure every dataset that leaves our platform is trustworthy, well‑documented, and easy for clients to consume.

Like our integration practice, our data engineering function is AI‑assisted: we expect you to use AI tooling as a natural part of how you work, whether that's generating transformation logic, scaffolding Streamlit applications, or accelerating documentation.

You will be expected to come in, get up to speed quickly, and drive data work streams forward with minimal oversight. You will report to and work closely with the Associate Director of Data Engineering and Head of Data Product.

• Building and maintaining dbt models that implement comprehensive validation and QC rules on source data.
• Designing rule sets for key fund administration entities—funds, investors, GL accounts, NAV components—ensuring data integrity at ingestion.
• Monitoring and alerting data quality issues before normalized assets reach clients.
• Documenting validation rules and exceptions so clients understand what they can rely on.

• Building and maintaining the Medallion architecture (Bronze ingestion, Silver transformation via dbt with validation/QC rules, Gold normalization) to create curated datasets aligned to Gen II's core data model (fund structures, investors, GL, NAV, compliance).
• Enabling multi‑channel data delivery: making Gold layer datasets available through Sensr Portal's Analytics & Databridge for client consumption, while simultaneously powering internal analytics, reporting, and AI‑driven services.
• Building Snowflake Streams and Tasks for incremental processing—keeping normalized datasets fresh without full reprocessing.

• Building Streamlit applications for client‑facing data access—dashboards, export tools, data validation status, usage metrics.
• Creating and maintaining data dictionaries and lineage documentation that clients need to onboard and trust normalized data.
• Collecting…