Engineering Manager – Data Platform, Lakehouse Foundation
Core
Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management, table formats (Iceberg/Delta), and the gateway and access patterns that all other data systems build on.
Role type
Senior Engineering Manager, Data Platform
Builds
Foundational data systems (lakehouse architecture) powering analytics, machine learning, and experimentation for Lyft
Domain
Data Infrastructure / Lakehouse
Deliverable
production ML models | product features | infrastructure
Required skills
Engineering management, team leadership, technical direction, cross-org partnership, distributed team management, strategic decision making, mentorship
Preferred skills
Lakehouse architectures (Databricks, Snowflake), modern table formats (Delta, Iceberg, Hudi), Unity Catalog, platform migrations
Technologies
Databricks, Snowflake, Delta, Iceberg, Hudi, Unity Catalog
Responsibilities
Lead team responsible for foundational data layer including catalog, metadata, and table formats; Drive multi-year lakehouse modernization and migration to Unity Catalog; Partner with peer Data Platform teams to ensure coherent evolution; Define and own team's technical direction; Mentor and guide professional and technical development of engineers; Foster cross-team engagement and ownership culture; Ensure team deliverables remain reliable, scalable, and well-understood
Seniority
Senior, hands-on IC manager
