Director of Data Platform Engineering

Join Owner, a fast-growing startup in the restaurant industry, as the Director of Data Platform Engineering. In this hands-on engineering leadership role, you will own the end-to-end data platform architecture, from moving data out of production systems to serving it to analysts and product features. You will work closely with engineering leadership, the VP of Business Operations, and various teams across the company. Enjoy benefits such as flexible work from anywhere, equity in the company, comprehensive healthcare coverage, unlimited PTO, and team retreats.

• Assumer la responsabilité de l'architecture de la plateforme de données de bout en bout, de la migration des données des systèmes de production vers un entrepôt de données fiable.
• Concevoir et mettre en œuvre des processus rigoureux de modélisation des données, en garantissant une couche sémantique unique pour les métriques clés.
• Diriger et développer une équipe d'ingénieurs, en établissant des normes de qualité et de performance pour les pipelines de données.
• Roughly 10 or more years in data engineering, data platform, or analytics engineering, including 3 to 5 years leading and building teams that other people depend on
• Strong data modeling and SQL plus production-quality Python, with proven ownership of data reliability through SLAs, SLOs, quality monitoring, incident response, and root-cause work
• Deep hands-on experience with a modern data stack: a cloud warehouse or lakehouse (Snowflake, Databricks, BigQuery, or Redshift), dbt or similar transformation tooling, orchestration (Airflow, Dagster, or similar), and both batch and streaming (Kafka, Spark, Flink, or equivalents)
• You treat pipelines like software: version control, code review, automated tests, schema and data contracts, and CI/CD, with changes reviewed before they reach production
• Practical governance experience across lineage, cataloging, and access control, including PII and payments data, and good judgment about where AI and machine learning belong and where they add risk