Lead Lyft's foundational data layer as an Engineering Manager for the Lakehouse Foundation team in Toronto. Oversee critical data systems that power analytics and AI workloads.
As an Engineering Manager at Lyft, you will guide a team responsible for the core data infrastructure. This role is vital as you partner with Data Platform teams to drive the transition to a unified lakehouse architecture. You will develop engineers, ensuring they operate effectively within complex systems while managing both reliability and innovation.
Key Responsibilities:
Lead a team managing metadata and catalog systems
Drive contributions to Lyft's lakehouse modernization
Collaborate with peer teams to align on technical direction




Define the team's technical roadmap and reliability standards
Mentor engineers and support their qualified growth
Requirements:
3+ years as an Engineering Manager for teams of 5+
Experience with lakehouse architectures and contemporary table formats preferred
Proven track record in managing major platform transitions
Experience in cross-team collaboration on software initiatives
Strong background in building inclusive, high-ownership teams
Shape the future of Lyft's data landscape while fostering an setting of technical growth and ownership.
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📌 Engineering Manager For Data Platforms At Lyft Toronto
🏢 Lyft
📍 Toronto