Engineering Manager, Developer Platform

Lime

2d • Remote

About The Position

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

We’re looking for an experienced Engineering Manager, Data Platform to lead our Data Engineering team. You will be responsible for architecting, building, and scaling the foundational data infrastructure that powers our global fleet’s analytics, machine learning models, and real-time business intelligence.
You’ll oversee the core data warehouse, ETL pipelines, and data governance functions that enable our Data Scientists and Analysts to derive insights efficiently and reliably. This role combines strategic leadership with deep expertise in data modeling and distributed systems, making it ideal for someone passionate about turning massive datasets into a competitive advantage.
This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 7+ years of experience in data engineering and distributed systems, with at least 2+ years in a technical leadership or management role.
• Proven success building and scaling modern data stacks on cloud providers (AWS preferred), including experience with Snowflake.
• Expertise in distributed processing (Spark, Flink, or Kafka) and workflow orchestration tools such as Airflow.
• Hands-on experience developing and debugging complex data transformations using Python and high-performance SQL.
• Strong understanding of data modeling and experience managing "Data as a Product" for internal consumers.
• Familiarity with data governance tools and practices (cataloging, lineage, and PII masking).
• Proven track record managing teams that deliver scalable, resilient data architectures in fast-growing environments.
• Excellent communication skills with the ability to translate complex data challenges into business impact for non-technical stakeholders.

Responsibilities

• Lead, mentor, and scale a team of engineers focused on high-throughput data ingestion, processing, and storage solutions.
• Own the data roadmap by defining technical strategy, setting priorities for data architecture, and aligning with product and business stakeholders.
• Drive data reliability and observability strategy to ensure high data quality, lineage tracking, and uptime for mission-critical pipelines.
• Champion best practices in data ops, including version-controlled schemas (dbt), CI/CD for data pipelines, and automated testing.
• Drive innovation in ML-readiness by partnering with the ML Platform team to provide clean, feature-rich datasets for model training and inference.
• Foster a culture of data stewardship, ensuring data is discoverable, well-documented, and accessible across the organization.
• Partner with Security, Compliance, and Legal teams to implement robust data privacy and SOX-compliant access controls.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 501-1,000 employees