DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering

• Engagement model: You will partner with the SVP of Data & Product Analytics (business owner), who will set priorities and accept deliverables. You will not have people-management responsibilities. • Primary outputs: Cross-product aggregated datasets, a semantic layer people use (metrics plus curated datasets), and clear dataset documentation and definitions. You will partner with the Data Engineer to ship and operate the silver and gold tables, and to make incremental improvements to Unity Catalog (organization, naming, and access). • Ways of working: Async-first, with written specs, review cycles, and lightweight live syncs during overlap hours. • Access and tooling: Work will be performed in company-managed systems (for example, Databricks and documentation tools) subject to required onboarding and access approvals.