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Engineering Manager Data Foundations

Open 23d

You will manage, hire, coach, and develop engineers working on GitLab’s Data Foundations platform. You will own planning, prioritization, execution, and operational follow-through while guiding the architecture of high-throughput distributed data systems. You will partner with product, design, infrastructure, data, and engineering stakeholders to deliver reliable analytics, reporting, and search capabilities.

Responsibilities

  • Hire, manage, and enable a high-performing Data Insights Platform engineering team
  • Define and deliver the roadmap for Data Insights Platform, Siphon, Query API integrations, classic search, and self-service reporting
  • Own planning, prioritization, execution, and operational follow-through for the team
  • Guide technical design for ingestion, buffering, enrichment, exporting, and querying components
  • Design scalable integrations with the GitLab monolith using gRPC and Protobuf query paths
  • Drive security, privacy, and governance for platform data
  • Improve observability, capacity planning, performance monitoring, and operational runbooks
  • Collaborate asynchronously to deliver customer-facing reporting capabilities
  • Lead the evolution of modular platform architecture for AI-driven integrations

Requirements

  • Experience managing platform, infrastructure, or data systems teams at scale
  • Expertise in distributed systems, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and production operations
  • Technical background in backend and platform engineering
  • Experience with change data capture, event streaming or messaging systems, OLAP data stores, query-serving layers, and service-to-service APIs
  • Ability to hire, develop, and coach team members while providing technical guidance
  • Cross-functional collaboration across platform and feature teams
  • Experience operating systems across multiple deployment models
  • Written communication skills for an all-remote, asynchronous environment
  • Familiarity with search, indexing, and query-serving systems

Benefits

  • Health, financial, and well-being benefits
  • Flexible paid time off
  • Team Member Resource Groups
  • Equity compensation
  • Employee Stock Purchase Plan
  • Parental leave

See also

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