GitLab
Director, Analytics Engineering
$139K–$286K
Remote, Canada +2 · Remote · Director · Full-time · Posted Oct 13, 2026
- Location
- Remote, Canada
Remote, United States
United States of America - Experience
- 12+ years in analytics engineering, data engineering, or BI; includes 5+ years leading teams and 2+ years managing managers or senior leads.
About the job
Leads GitLab’s analytics engineering team and strategy for trusted, AI-ready data models, self-service access, BI tools, and company-wide data applications.
What you'll do
- Own the semantic model, governed metrics, data quality evaluations, telemetry, and AI model-selection approach.
- Set strategy for data access, enterprise BI, self-service tools, and production-grade data applications.
- Lead and develop a team of 8, establish the roadmap and engineering standards, and partner across the organization.
What they ask for
- 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads.
- Deep expertise in data modeling and semantic layers; expert dbt, including testing and CI/CD across a multi-team project.
- Hands-on experience building LLM-powered data access, including evaluations and telemetry; advanced use of AI coding agents such as Claude Code.
- Expert SQL and strong Snowflake experience; working knowledge of Python.
Nice to have
- Experience with LLM routing or gateway tools and model-cost management.
- Experience with Tableau, Omni, BI platform migration, web app development, or Postgres.
Pay
$139,200 — $285,600 USD (base salary)
Tools
dbt, Snowflake, Python, Claude, MCP servers, Slack agents, Tableau, Omni
AI focus
Build AI-ready data access and applications, including semantic models, LLM-powered access, evaluations, telemetry, model routing, and self-service capabilities; use GitLab Duo and AI coding agents in data workflows.
Model-written summary · the original posting is authoritative