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
Modern data foundation, composable agentic AE delivery system, semantic models, internal AI agents, and scalable data ingestion patterns.
Domain
SaaS / Customer Platform / Data Engineering & AI
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, data modeling, ETL/ELT, dbt (advanced patterns, macros, packages), Python, version control (GitHub), AI-assisted development tools, MCP server integration, data observability
Preferred skills
Experience with Snowflake, Looker, Monte Carlo, Hex, RPC-based capabilities
Technologies
Snowflake, dbt, Looker, GitHub Enterprise Cloud, Monte Carlo, Hex, MCP servers, Python
Responsibilities
Build and optimize data pipelines and analytical tools for scale; Own and evolve core platform assets and automation; Contribute to composable agentic AE delivery system; Design and maintain semantic models; Build internal AI agents and data-grounded tools; Define and deploy cost strategies; Foster innovation with emerging technologies; Guide professional development of the team; Partner with stakeholders to solve business problems; Build out scalable data models; Expand dbt patterns and macros; Drive data observability and pipeline reliability; Establish scalable patterns for analytical application development; Lead working groups and manage project lifecycles.
Seniority
Staff, technical leadership & cross-functional initiative ownership