Summary
What you’ll impact
The role is responsible for owning the organization's data platform end‑to‑end, including ingestion, transformation, orchestration, and reliability, while also advancing AI agents that automate integrations. The engineer will ensure low‑latency data availability, build clean transformation layers, and scale the platform as the organization grows.
Responsibilities
What you'll do
- You own the data platform end to end — ingestion, transformation, orchestration, and the reliability of all three.
- As importantly, you’ll need to further develop our existing AI agents that write, build, and test new integrations end-to-end. Automating your job is the only way you will scale it.
- Own data platform reliability as we scale
- Optimize ingestion pipelines for low-latency data availability, ensuring consistent performance during peak seasonal surges.
- Build our data transformation layer so Hazel has clean, predictable data to work with.
- Automate your own job, especially the data integrations and transformations
- Ship new source integrations end to end
Requirements
What you’ll bring
- 4+ years building production data infrastructure, with real ownership of a warehouse someone else depended on.
- Deep understanding of dbt and SQL. You have opinions about grain, incrementality, and data modeling.
- Strong Python. Our ingestion layer is code you'll be writing, not a UI you'll be clicking.
- You've owned an orchestrator in production — Dagster, Airflow, Temporal, Prefect, whatever es.
- AI-native in practice. You use coding agents to do the work of a much larger team, and you can tell us where they helped and where they made things worse.
- You write documentation well, because here it's a feature.
- Comfortable being the only person who does this job, and equally comfortable making sure that stops being true.