Senior Data Platform Engineer

About the role

Hazel is the AI coworker for consumer brands. We connect to a brand's live data — Shopify, Klaviyo, Amazon, Meta, and dozens of others — and turn it into a teammate operators talk to every day. Ask "why did repeat purchase rate drop last week?" and 10 seconds later you get an answer, cited from live data. Hazel also takes action herself, proactively flagging issues and making changes directly in Shopify and the other systems she connects to, on the way to running full playbooks autonomously. We’ve raised more than $2M, are rapidly scaling and serving some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin.

Hazel’s intelligence is built on top of a data warehouse meticulously tailored for consumer brands. We’re moving a massive amount of data and the owner of this layer plays a direct part in how users interact with Hazel. Our data layer is tens of terabytes of data and thousands of data tables, and customers expect perfect sync reliability, new integrations to be built in days, and for every question Hazel asks to be correctly grounded in data.

Responsibilities

• Own the data platform end to end — ingestion, transformation, orchestration, and the reliability of all three.
• Further develop existing AI agents that write, build, and test new integrations end-to-end.
• Automate your job as the only way to 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 the 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.

Skills

• dbt
• Temporal
• dlt
• DuckDB / Motherduck
• Dagster

Requirements

• 4+ years building production data infrastructure, with real ownership of a warehouse someone else depended on.
• Deep understanding of dbt and SQL; opinions about grain, incrementality, and data modeling.
• Strong Python.
• Experience owning an orchestrator in production (Dagster, Airflow, Temporal, Prefect, etc.).
• AI-native in practice: using coding agents to do the work of a much larger team and able to articulate where they helped and where they made things worse.
• Write clear documentation — here it’s a feature.
• Comfortable being the sole person in this role, while also ensuring it doesn’t stay that way.

Nice to have: Experience with open table formats, e-commerce/DTC data (Shopify, Klaviyo, Amazon SP-API, ad platforms), and designing multi‑tenant warehouses.

Pay

$155K–$200K base salary; 0.15–0.25% equity.

Benefits

• Top-tier health, dental, and vision coverage.
• 401(k) plan.
• Unlimited PTO.
• Hybrid work arrangement in NYC.