Description:

Lead the modeling and semantic foundation of the Customer Data Platform.
Define structured behavioral datasets from product events for analytics, insights, and reporting.

Requirements:

9+ years in analytics engineering, data engineering, or data architecture.
Deep expertise in SQL and dbt, including testing and version-controlled workflows.
Strong experience with event-based or product usage data modeling at scale.
Proven ownership of canonical datasets or semantic layers across teams.

Work in a global, remote-first environment with a diverse team.
Opportunity to shape the long-term architecture of the behavioral data platform.