Staff Analytics Engineer

Responsibilities

• Set the multi-quarter technical direction for the warehouse. This covers layering (staging, intermediate, marts), domain boundaries, materialization and incremental strategies, and the standards that keep more than 1,000 dbt models fast, testable, and cost-efficient as we grow 10x.
• Decide which models are served through ad hoc OLAP queries on the lakehouse, which belong in a real-time analytics engine for low-latency internal and partner-facing use, and which become governed metrics in a semantic layer.
• Agree on schemas, freshness SLAs, and change notification with source owners, and choose CDC or batch for each source based on what consumers need.
• Guarantee cent-level accuracy on financial data with tests, reconciliation, and write-audit-publish patterns that keep silent errors from shipping.
• Set org-wide standards for modeling, testing, and CI/CD, mentor engineers, and win alignment across teams. Your impact should show up in others' work.
• Prioritize work that moves metrics for finance, operations, and partners, and head off scaling, quality, and cost problems before they hit.

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