Engineering Manager, Data Foundations

Role overview

Engineering Manager for Data Foundations at GitLab. You will lead and grow a high-performing engineering team responsible for a core data platform that ingests, processes, persists, and queries data streams generated across GitLab. You’ll also expand scope into classic search as part of the Data Foundations organization.

Responsibilities

• Hire, manage, and enable a high-performing engineering team for the Data Insights Platform (DIP).
• Partner with Product, Design, Infrastructure, Data, and other Engineering teams to evolve a platform that lives inside GitLab with minimal external services.
• Own and drive delivery for initiatives including:
  • DIP roadmap and Platform Insights initiatives
  • Siphon
  • Query API integrations
  • Classic search initiatives
  • Self-service reporting foundations
• Provide architecture leadership for high-throughput, multi-component distributed systems, including:
  • ingestion, buffering, enrichment, replication, storage, querying
  • backpressure handling, isolation
  • production operations across multiple deployment models
• Guide production execution across deployments spanning GitLab.com, Dedicated, Self-Managed, and Cells-based models.

Technical/architecture focus

• Drive architecture and execution across a platform built around:
  • stateless ingesters
  • Siphon CDC replication
  • NATS/JetStream buffering
  • enrichment pipelines
  • ClickHouse-backed storage
  • a Query API interfacing with the GitLab Rails monolith

Requirements

• Deep distributed systems knowledge.
• Comfort going beyond people management into architecture of high-throughput multi-component data systems.
• Ability to balance technical guidance with people leadership.
• Experience collaborating cross-functionally with Product/Design and peer engineering leadership.

Nice-to-haves

• Experience delivering data/analytics/search platforms with strong production operations in multiple deployment models.
• Ability to leverage AI as a core productivity multiplier in daily workflows.