CareerPlanGet AI match score →

Engineering Manager – Data Platform, Lakehouse Foundation

Toronto Coworking💼 Full-time💰 $172,000–$172,000🗓 2026-06-04 → 2026-07-31

Core

Lead a group of engineers responsible for Lyft's foundational data layer, including catalog, metadata management, table formats, and access patterns for all data systems and AI workloads.

Role type

Senior Engineering Manager, Data Platform

Builds

Foundational data systems (lakehouse architecture, Unity Catalog, Iceberg/Delta) powering analytics, ML, and business decisions

Domain

Ride-sharing / Data Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Engineering management, team development, technical direction, cross-org partnership, distributed team leadership, strategic decision-making

Preferred skills

Lakehouse architectures (Databricks, Snowflake), modern table formats (Delta, Iceberg, Hudi), multi-quarter platform migrations

Technologies

Unity Catalog, Iceberg, Delta, Hudi, Databricks, Snowflake

Responsibilities

Lead team on foundational data layer including catalog/metadata and table formats; Drive lakehouse modernization and migration to Unity Catalog; Partner with peer Data Platform teams; Define technical direction balancing platform investment with reliability; Mentor engineers across levels; Foster cross-team engagement; Ensure team deliverables remain reliable and scalable

Seniority

Senior, hands-on IC manager

Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Greenhouse ↗