Elevate Lyft's data infrastructure as Engineering Manager for Lakehouse Foundation. Focus on foundational systems, metadata, and technical direction while mentoring engineers.In this cutting-edge role at Lyft, you will lead a team of engineers responsible for the foundational data architecture that fuels analytics and AI workloads. Your management will encompass catalog and metadata frameworks, table formats like Iceberg and Delta, and the access patterns for other engineering teams. As part of Lyft's lakehouse modernization, you will partner with various data teams, ensuring a coherent evolutionary path and robust technical direction. Mentoring engineers at different career levels will be a vital part of fostering talent within your team and creating a robust engineering culture.Key Responsibilities:
Lead the Lakehouse Foundation's foundational data layer operations




Drive lakehouse modernization efforts and Unity Catalog integration
Collaborate with various engineering organizations for coherent evolution
Define and manage the team's technical strategy and investments
Mentor engineers, including senior contributors and newcomersRequirements:
Experience in engineering management with a focus on data
Solid knowledge of data layer architecture and management
Skilled in fostering team development and growth
Experience balancing technology investments with operational needs
Ability to guide and support engineers across diverse levelsTransform Lyft's data capabilities by leading a talented engineering team and driving impactful infrastructure changes.#J-18808-Ljbffr

📌 Lyft Data Platform Engineering Manager Role Toronto
🏢 Lyft
📍 Toronto