Staff Analytics Engineer – Customer Data Platform
Core
Lead the modeling and semantic foundation of the Customer Data Platform, transforming raw product events into structured behavioral datasets for analytics, ML, and reporting.
Role type
Staff Analytics Engineer (Data Platform Architecture)
Builds
Durable warehouse datasets, semantic layers, and behavioral models powering product analytics and ML workflows.
Domain
SaaS / Product Analytics / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, event-based data modeling, schema design, metric definition, data governance, multi-tenant architecture, automated validation, version control
Preferred skills
Experience with modern event collection systems, OLAP systems, tenant-safe modeling, high-concurrency analytics
Technologies
dbt, SQL, warehouse systems, OLAP systems
Responsibilities
Define and govern product event taxonomy; establish instrumentation contracts and naming standards; transform raw events into reusable behavioral datasets; design canonical entity and fact/dimension models; ensure metric consistency across tools; build warehouse models for product analytics; establish modeling patterns and documentation standards; review analytics engineering work for correctness and maintainability.
Seniority
Staff, hands-on IC with strategic influence