Engineering Manager – Data Platform, Lakehouse Foundation

Responsibilities

• Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management, table formats such as Iceberg and Delta, and gateways and access patterns used by other data systems.
• Drive the team's contribution to Lyft's multi-year lakehouse modernization, including migration to Unity Catalog and convergence of metadata across the data stack.
• Partner with Data Platform teams covering Compute, Data Trust & Governance, Data Orchestration, and Streaming, as well as engineering organizations across Lyft.
• Define and own technical direction while balancing platform investment with reliability needs for foundational systems supporting thousands of pipelines and queries.
• Mentor and guide engineers at all levels, including senior individual contributors operating at staff level and early-career engineers.
• Ensure strong ownership, effective decision-making in ambiguous and high-stakes situations, and technical rigor.
• Foster cross-team engagement and proactive partnership with customers and adjacent teams.
• Provide feedback and coaching, recognize contributions, and support engineers' growth.
• Own team deliverables and ensure foundational systems remain reliable, scalable, and well understood.

Requirements

• 3+ years of experience as an Engineering Manager leading teams of 5+ engineers, including senior individual contributors.
• Experience managing data infrastructure or platform teams.
• Experience leading multi-quarter platform migrations or major architectural transitions.
• Experience serving as a primary cross-organizational partner on initiatives spanning multiple engineering teams.
• Experience developing engineers, including senior individual contributors on a staff trajectory.
• Experience leading geographically distributed teams across time zones.
• Technical background sufficient to contribute to architecture and design discussions, evaluate tradeoffs, and provide credible direction to senior engineers.
• Experience building inclusive teams with strong ownership cultures.
• Excellent written and verbal communication skills.

Nice to Have

• Experience with lakehouse architectures, including Databricks and Snowflake.
• Experience with modern table formats, including Delta, Iceberg, and Hudi.

Compensation and Benefits

• Expected base pay range in the Toronto area: CAD $172,000–$215,000, excluding potential equity, bonus, and benefits.
• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health, family building, child care, and pet benefits.
• Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off, with an additional day per year of service.
• 18 weeks of paid parental leave through a top-up plan complementing provincial programs.
• Subsidized commuter benefits and Lyft ride credits.
• Hybrid schedule requiring at least three days per week in the office, including Mondays, Wednesdays, and Thursdays, with up to four weeks per year of location flexibility.