# Engineering Manager – Data Platform, Lakehouse Foundation

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** Toronto, Canada
**Role:** Engineering Management
**Salary:** CA$172k – CA$215k/yr
**Experience:** 5+ years
**Skills:** Data Infrastructure, Lakehouse Architecture, Databricks, Snowflake, Apache Iceberg, Delta Lake, Apache Hudi, Unity Catalog, Metadata Management, Data Governance, Data Orchestration, Streaming, Platform Migrations, Distributed Systems
**Posted:** 2026-07-06

> Leads the Lakehouse Foundation engineering team responsible for Lyft’s foundational data layer, metadata, table formats, and access systems. The role requires engineering management experience, data-platform expertise, cross-team migration leadership, and strong technical mentorship.

## Job Description

## 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.

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