Data Forward Deployed Engineer with Databricks

Responsibilities

• Collaborate directly with the people who will use the glossary — use case owners, domain data owners and stewards — translating their needs into specs and running short demo-and-feedback loops
• Own the spec chain using BMAD: product brief → PRD → architecture → stories with acceptance criteria, ensuring no code is written without an approved spec and every merge request traces back to a story and its acceptance tests
• Deliver glossary features inside the DLE, including search and browse of terms by domain, and a page per term showing its definition, synonyms, data owner, steward, status and version
• Implement links from terms to entities and to contract fields, populating the DLE's existing semantic_term_urn field
• Design an impact view showing which products and consumers depend on a term
• Build a propose-or-change flow that routes requests to steward review and then into Git as a merge request
• Develop the UI using Databricks Apps, governed by Unity Catalog for comments, tags, permissions and lineage, and deploy via Asset Bundles
• Embed security into the design: authentication fails closed, on-behalf-of auth must never silently fall back to a service principal, and access is governed by Unity Catalog
• Operate entirely within the client's VDI and Coder workspaces, ensuring no client data leaves the secured perimeter
• Record decisions as ADRs in the platform's knowledge base

Languages

Required

• Expertise in Databricks, including Databricks Apps, Unity Catalog and Asset Bundles
• Skills in designing and implementing data contracts and governed release flows through Git

Nice to have

• Qualifications in recording architectural decisions as ADRs and producing runbooks and handover documentation
• Strong communication skills for running demo-and-feedback loops with use case owners, domain data owners and stewards
• Excellent command of written and spoken English (B2+ level)

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