Engineering Manager, Data Foundations

GitLab
United States
Workplace: RemoteFull timeUSD 152,800 - 259,200 annuallyFunction: Software EngineeringSkills: ["Leadership","Communication","Team management","Cross-functional collaboration","Problem-solving"]

Lead a Data Foundations engineering team at GitLab to build and evolve a high-throughput distributed data platform (Data Insights Platform and classic search). Drive AI-enabled productivity, guide architecture for ingestion, buffering, enrichment, and querying across multiple deployments, collaborate with Product/Design/Infrastructure, and raise reliability, scalability, and governance across data systems.

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FursaFursa
GitLab
GitLab
3 months ago

Engineering Manager, Data Foundations

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead a Data Foundations engineering team at GitLab to build and evolve a high-throughput distributed data platform (Data Insights Platform and classic search). Drive AI-enabled productivity, guide architecture for ingestion, buffering, enrichment, and querying across multiple deployments, collaborate with Product/Design/Infrastructure, and raise reliability, scalability, and governance across data systems.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results.
  • •Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives such as Siphon, Query API integrations, classic search initiatives, and self-service reporting foundations.
  • •Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness, with clear accountability for roadmap milestones and delivery outcomes.
  • •Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying, and shape architecture choices on sharding, partitioning, component-specific scaling, failure recovery, and tenant isolation across SaaS, Dedicated, self-managed, and Cells deployments.
  • •Drive a high bar for security, privacy, and governance in how platform data is handled, including authentication, authorization, encryption, and safe handling of data with different privacy classifications.

Pay and Benefits

Salary: USD 152,800 - 259,200 annually

Key Requirements

  • •Experience managing platform, infrastructure, or data systems teams at scale.
  • •Deep distributed systems expertise with fault tolerance, horizontal scalability, and multi-component production environments.
  • •Strong backend/platform engineering background capable of guiding architecture for high-throughput data systems.
  • •Experience with change data capture, event streaming/messaging systems, OLAP data stores, and query-serving layers.
  • •Ability to hire, develop, and coach team members while contributing technical guidance on architecture and delivery tradeoffs.
Experience:Data platformsAnalyticsSaaSCloud
Skills:LeadershipCommunicationTeam managementCross-functional collaborationProblem-solving
Languages:English
Tech Stack:ClickHousePostgreSQLNATSJetStreamGRPCProtobufGraphQLRESTCDCData pipelines

Company Brief

GitLab
Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn