Growth Engineer

The Role You'll be our first dedicated growth engineer, building the data foundation that every team at Comfy will rely on. We recently stood up the basics of a data stack and now need someone to take ownership of it and turn it into something the whole company trusts. What you'll do Own the warehouse end‑to‑end: design dimensional models, establish dbt conventions, and create datasets that serve analytics, product, and finance. Build observability into the stack with alerting, lineage, and freshness monitoring from ingestion to consumption. Catch data quality problems at the source by writing controls and tests that surface issues before they reach dashboards. Make data self‑serve for every team by working with BizOps, product, and engineering to build models that let them answer key questions, such as free‑to‑paid conversion funnel, a single definition of "active user," and an end‑to‑end billing model that reconciles usage events with invoices and flags discrepancies automatically. Qualifications Owned a data warehouse end‑to‑end and built modeling standards that kept it trustworthy as it scaled. Care about data quality enough to write tests before anyone asks. Comfortable working directly with non‑technical stakeholders to define metrics, resolve ambiguity, and build models that people can self‑serve against. Reach for automation to eliminate toil, not because it's trendy but because life is short. Shipped dimensional models that survived contact with stakeholders who kept changing their minds. Nice to have Python for data engineering (pipeline code, not notebooks). Experience with a cloud warehouse such as Snowflake or BigQuery. Experience with orchestration tools such as Airflow or Dagster. Experience with product analytics or BI tools. Familiarity with ComfyUI or node‑based workflow tools. Compensation Compensation Range: 150,000$ – 300,000$ #J-18808-Ljbffr ComfyUI