Senior Software Engineer - Data Platform

About the role

THE ROLE

You will own workstreams end to end on the Data Platform team: designing, building, and operating the pipelines and warehouse infrastructure that move healthcare data from source systems into production. This is a senior IC role. You will make defensible architecture decisions, ship them, run them in production, and raise the bar for the engineers around you.

The stack: Snowflake, SQLMesh, Temporal, Python, AWS, Fivetran, and Datadog, organized around a medallion architecture. The problems: high-volume EHR extract infrastructure (Epic Clarity, Athena, ODBC-based sources), core entity modeling shared across every product surface, health-system readiness at enterprise scale, warehouse cost and access governance, and pipeline reliability with real SLAs.

WHAT YOU WILL DO

- Own a major platform workstream end to end, from ambiguous requirements through architecture, delivery, and production operation.

- Build production-grade pipelines that treat idempotency, late-arriving data, backfills, and failure recovery as first-class concerns.

- Design EHR extract infrastructure against Epic Clarity, athenahealth, and ODBC-based sources, working through the data quality and variability that healthcare data brings.

- Turn raw data into curated, trusted models. You understand the difference between moving data and modeling it.

- Shape technical direction for your pod: mentor peers, review designs, and influence decisions beyond your own tickets.

- Partner with product, forward-deployed engineering, and customer-facing teams. Translate technical constraints into business impact and surface trade-offs before you are asked.

- Own platform health: observability, access control, and warehouse cost, including query profiles, clustering, and credit consumption.

- Run what you build. Engineers on this team support their pipelines in production, including on-call.

- Develop AI-natively. AI coding tools (Claude Code and similar) are part of how this team designs, builds, and reviews.

WHAT YOU WILL BRING

- 5+ years building and operating production data systems, with clear personal ownership of at least one non-trivial pipeline or platform component end to end.

- Strong Python and advanced SQL. Comfortable in large warehouse schemas and performance tuning.

- Hands-on experience with a modern warehouse (Snowflake preferred) and an orchestration framework (Temporal, Airflow, Prefect, or similar). Transformation frameworks like SQLMesh or dbt.

- You have run into production reality: you can name where your designs broke under load and what you changed.

- You scope before you solve - you ask about volume, latency, and SLAs before drawing boxes.

- You operate without constant direction: self-directed, escalating strategically, comfortable with ambiguity and reprioritization.

NICE TO HAVE