Director of Analytics Engineering

Join GitLab as the Director of Analytics Engineering, where you'll lead a team of 8 and set the direction for the data organization. You'll be responsible for building a trusted, AI-ready self-service model, defining the AI data access strategy, and creating data applications that the entire company relies on. With a focus on data modeling, governance, and cross-functional collaboration, you'll play a key role in driving measurable business impact.

- Establecer la dirección y estrategia para el acceso a los datos en GitLab, incluyendo la propiedad de los modelos de datos, las herramientas de BI y los patrones de acceso a la IA. - Construir y poseer un modelo semántico confiable, con métricas gobernadas y definiciones comerciales, que responda a las preguntas comerciales de manera consistente en todas las herramientas. - Contratar, capacitar y retener un equipo de alto rendimiento de 8 personas, construyendo trayectorias profesionales, desarrollando líderes y distribuyendo la propiedad.

- Expert SQL and strong Snowflake experience; working knowledge of Python - 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 (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project - Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values - Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code - Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects - Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale - Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company - Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state - Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) - Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement - Experience with web app development (e.g., React, TypeScript) and Postgres - Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable - Experience with LLM routing or gateway tools and managing model costs - Experience with Tableau, Omni, or a BI platform migration