Senior Analytics Engineer

Responsibilities

• Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake. Uphold and improve SQL style, materialization patterns, incremental model conventions, and layered architecture.
• Orchestrate the analytics pipeline. Manage production dbt jobs and SLAs (targeting 7AM ET freshness), monitor runtimes in Metaplane, and tune orchestration as data volume grows.
• Define and defend shared metrics. Be the authority on key metric definitions, ensure canonical sources are used, participate in discussions, and document decisions.
• Drive documentation culture. Build and own Data tables documentation wiki and dbt model documentation. Write runbooks for incident response, onboarding, and contribution standards.
• Lead data quality and observability. Manage Metaplane monitors, triage alerts, maintain data contracts, and debug anomalies end-to-end.
• Deprecate the old, build the new. Identify unused models, shepherd deprecation, and clean up warehouse tables and monitors.
• Support compliance and vendor management. Handle audit/compliance reviews (Upbound/SOX), manage dbt contract renewals, and track usage.
• Mentor the broader data team. Run code reviews with domain analysts, establish review coverage, and help grow dbt skills.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or closely related role
• Strong SQL and data modeling fundamentals with opinions about mart layer architecture
• Experience with Snowflake (or comparable cloud warehouse) in production
• Comfort owning orchestration tooling (Airflow, dbt Cloud, or equivalent)
• Track record of building durable documentation that gets used
• Strong communication skills across technical and business audiences
• Curiosity and drive to explore/integrate new tools
• Ownership mindset and bias for action

Compensation

Anticipated annual base salary: $170,000 - $190,000 (does not include other compensation or benefits)