The Senior Data & Analytics Engineer is a hybrid builder role focused on enabling business domains onto the Databricks platform by developing governed Silver and Gold assets, reusable semantic patterns, and domain-ready analytical models. This role sits between pure data engineering and pure analytics engineering: it requires enough technical depth to work comfortably with transformations and lakehouse patterns, and enough business fluency to build trustworthy models that business stakeholders can use and extend.  

Initial focus for this role is expected to be G&A and GTM-oriented domains such as Accounting, Program Finance, RevOps, Marketing, HR, and adjacent business functions, while remaining flexible enough to support more complex future domains such as Product or Engineering as the team matures. This role is not a dashboard factory; it is responsible for durable, governed datasets and semantic assets that accelerate domain self-service while maintaining enterprise consistency.