Director of Data Platform Engineering

📋 Description

• Own end-to-end data platform architecture from sources to serving.
• Decide stack consolidation and lakehouse direction.
• Design data flow for order data from legacy systems to the warehouse.
• Establish a single semantic layer and data quality with SLAs and monitoring.
• Provide feature and serving infra for restaurant ML; manage costs.

🎯 Requirements

• 10+ years in data engineering or analytics; 3-5 years leading teams.
• Treat pipelines as software: version control, tests, contracts, CI/CD, reviews.
• Hands-on with modern stack: Snowflake, Databricks, BigQuery, dbt, Airflow.
• Strong data modeling and SQL; production Python; ownership of data reliability.
• Governance across lineage, cataloging, access control; include PII and payments risk.

🎁 Benefits

• Generous pre-IPO equity package.
• Comprehensive health coverage.
• Remote-first workplace.
• Unlimited PTO.
• Extra fun perks.