Engineering Manager for Data Platform

Position: Engineering Manager for Data Platform at Lyft
Elevate your career at Lyft as an Engineering Manager for the Lakehouse Foundation team. Lead engineers in crafting a foundational data layer that drives analytics and machine learning.

In this leadership role, you will guide a team dedicated to managing Lyft's data layer encompassing metadata management, table formats, and access patterns crucial for data-driven decisions. With a commitment to lakehouse modernization, the position requires partnering with multiple data teams and engineering organizations for coherent system evolution. Your technical insights will help shape strategies, encourage engineer development, and ensure operational excellence across complex systems.

Key Responsibilities:

• Lead engineering team managing foundational data layer

• Drive contributions to lakehouse modernization efforts

• Collaborate with cross-functional data platform teams

• Define the technical direction balancing reliability and investment

• Mentor engineers at various development stages

Requirements:

• 3+ years as Engineering Manager with 5+ engineers

• Experience with lakehouse architectures like Databricks

• Proven track record in multi-quarter platform migrations

• Ability to navigate cross-team dependencies

• Excellent communication skills with all organizational levels

Shape Lyft's data future while fostering an inclusive team environment and enhancing your leadership impact.
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