Job Description
📋 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.
