Senior/Staff Analytics Engineer
Core
Lead the evolution of the Analytics Engineering platform to turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making.
Role type
Senior/Staff Analytics Engineer (Individual Contributor)
Builds
Governed dbt models, semantic and context layers, and scalable warehouse architectures
Domain
Cloud data warehousing and AI-assisted analytics
Deliverable
production ML models | product features
Required skills
dbt, SQL, dimensional modeling (Kimball), data modeling, testing, CI/CD, data contracts, lineage, governance, cloud data warehouse architecture, performance optimization, cost efficiency, stakeholder partnership, technical standards setting, mentorship
Preferred skills
AI-assisted coding tools (Codex, Cursor, Claude Code), semantic layer design, self-service analytics enablement
Technologies
dbt, BigQuery, Databricks, Snowflake, Git
Responsibilities
Own Analytics Engineering architecture and long-term evolution; Design and maintain governed dbt models for business-critical metrics; Establish engineering standards for modeling, testing, documentation, and CI/CD; Enable self-service and AI-assisted analytics via semantic layers; Partner with analysts/scientists to translate business logic into scalable models; Improve reliability and efficiency of source data and warehouse performance; Mentor teams on dbt development and best practices
Seniority
Senior/Staff, hands-on IC