Staff Analytics Engineer
Core
Design and build a modern data foundation for efficient models and analyses, creating flexible, reusable architecture for high-value data assets and internal tooling.
Role type
Staff Analytics Engineer (Data & AI Foundations)
Builds
Scalable data pipelines, semantic models, agentic workflows, and internal AI agents/data-grounded tools.
Domain
SaaS / Customer Platform / Data Engineering & AI
Required skills
SQL, data modeling, ETL/ELT, dbt (advanced patterns/macros), Python, version control (GitHub), AI-assisted development tools, MCP server integration, data observability
Preferred skills
Experience with Snowflake, Looker, SCD tables, cost optimization strategies
Technologies
Snowflake, dbt, Looker, GitHub Enterprise Cloud, Monte Carlo, MCP servers
Responsibilities
Build and optimize data pipelines and analytical tools for scale; Own and evolve core platform assets and automation; Design and maintain semantic models; Build internal AI agents and data-grounded tools; Define and deploy scalable data ingestion and replication patterns; Guide professional development of the team; Partner with stakeholders to solve business problems; Expand dbt patterns and macros; Drive data observability and pipeline reliability; Lead working groups and scope requirements.
Seniority
Staff, technical leadership & strategic architecture