Forward Deployed Data Engineer IV, Databricks

As a Forward Deployed Data Engineer IV, you’ll join our AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational problems, then build and ship the systems that solve them: production code, in the client’s environment, used by their people, and measured against their outcomes. This role focuses on getting a utility’s data into a state where decisions, applications, and models can actually be built on it: governed, modeled, reliable, and owned by the client’s team after the engagement ends.

What you'll do:

• Embed with utility clients to design and build production data platforms end to end: ingestion, transformation, orchestration, quality, governance, and serving, using Databricks, Spark, Python, SQL, and Amazon Web Services (AWS)
• Own the technical architecture of each engagement and defend it to client architects, security teams, and platform owners
• Run technical discovery independently, separating the problem as stated from the underlying need, and say so when the requested solution is the wrong one
• Deliver a working, useful system early in each engagement, typically within the first few weeks, then iterate toward production hardening. Tactical solutions are legitimate; undocumented or unowned ones are not
• Lead migrations from legacy warehouses and on-premises systems to modern platforms, including undocumented dependencies
• Model data so that downstream teams can use it without re-deriving the same logic, using dimensional, lakehouse and medallion, and graph or semantic models where the domain calls for it

Full details and application on the official E Source careers page.