Senior Analytics Engineer
Core
Design, develop, and maintain scalable data models and marts in dbt and Snowflake to support business intelligence and analytics across multiple functions, while building AI-enabled tools for self-service analytics.
Role type
Senior individual contributor analytics engineer
Builds
Production data models, semantic layers, and AI-enabled analytics workflows
Domain
SaaS / Home services / Data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, Snowflake, Python, version control, testing, code review, documentation, AI tool usage
Preferred skills
Semantic layer expertise, orchestration tools (Airflow, Dagster), cross-functional problem-solving, proactive ownership
Technologies
dbt, Snowflake, Omni, Looker, Tableau, Airflow, Dagster
Responsibilities
Design and maintain scalable data models and marts; Evaluate architectural tradeoffs for modeling patterns and performance; Define and maintain consistent metrics across data layers; Govern semantic layer standards and data quality; Build AI-enabled tools to expand self-service analytics; Partner with stakeholders to translate business needs into technical solutions; Provide technical guidance, code reviews, and onboarding support
Seniority
Senior, hands-on IC