Engineering Manager, Data Platform
The Role
You will lead a Data Platform team as a player-coach: owning the team’s roadmap, delivery, and health while staying technically credible enough to review architecture, unblock hard problems, and contribute directly when the situation calls for it. This is a lean-team environment - you cannot operate as a pure management layer. In your first 30 days you should expect to be hands-on in the codebase and pipelines while you build context.
The team operates on Snowflake, SQLMesh, Temporal, Python, and AWS, with Fivetran for ingestion and Datadog for observability. The mandate spans enterprise EHR extract infrastructure (Epic Clarity, Athena, ODBC-based sources), core entity modeling, hospital health-system readiness, and platform reliability, cost, and governance at growing scale.
What You Will Do
Manage a team of 4–6 data platform engineers: performance, growth, coaching, and retention.
Own the team roadmap with product and the Head of Data. Turn ambiguous business needs into a sequenced, staffed plan and be accountable for delivery against it.
Set architecture direction with your senior ICs. Review designs, force the right trade-off conversations, and know when to overrule and when to defer.
