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Sr. Deployment Strategist, FDE - Public Sector

Databricks · Washington, D.C.

hybridsenior$219,765–$219,765Posted Sep 21, 2026PythonJavaSQLAPIsMachine LearningGenerative AIData PipelinesDistributed Systems

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About this role

**Sr. Deployment Strategist, FDE - Public Sector** **About the Team** The FDE (Forward Deployed Engineering) team is a strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering **outcomes**, not just a platform. You’ll be part of the founding team—embedded with strategic customers from the first sales call through a production-ready solution. You’ll act as the **“product manager”** for the customer’s problem (owning the **why** and **what**), while FDE engineers partner with you on the **how**. **Role Description** As a Deployment Strategist (DS), you bridge a customer’s multi-million-dollar business problem and Databricks’ technical solution. You own the technical and product direction of the engagement—from initial discovery through production launch and adoption. You’ll build C-suite trust, perform deep discovery to map the customer’s political and technical landscape, and scope the value. You’ll define the **Minimum Viable Product (MVP)** for a pilot, write the **PRD** that guides engineering, and manage delivery to a successful landing. You’ll also lead technical discovery, shape solution architecture with FDEs, and ensure solutions can move from prototype to production. **The impact you will have** - **C-Suite Scoping & Value Definition:** Partner with Sales for deep discovery, map the customer organization, quantify value for **$10M+** problems, and define the pilot (MVP, success criteria, timeline). - **End-to-End Product Ownership:** Author the PRD, prioritize the engineering backlog, manage scope, and serve as primary hands-on QA. Translate business needs into data, integration, security, and operational requirements. - **Technical Solution Leadership & Delivery:** Drive agile delivery with the build team, manage stakeholders from C-suite to engineers, unblock issues, lead discovery and design reviews, pressure-test architecture, and identify risks early. - **Solution Launch & Landing:** Own “Day 0” launch and the war room; drive adoption by capturing feedback, iterating, and proving business value. Own production readiness across data quality, testing, security, performance, and operations. - **Strategic Handoff & Growth:** Scope ongoing maintenance, create documentation/training, identify next high-value engagements, codify reusable solution patterns, and bring field insights back to Product and Engineering. **What we look for** - **Executive presence & communication:** Trusted advisor with strong executive communication; confident, humble, and able to help senior stakeholders make difficult decisions. - **Product judgment & delivery:** Ability to define what to build and why, write strong PRDs, prioritize engineering work, manage scope, and lead complex agile projects to measurable outcomes. - **Technical fluency & architecture judgment:** Understanding of modern data/AI architectures (cloud, pipelines, models, distributed systems, APIs, security/governance, ML, and generative AI patterns). Ability to lead architecture discussions and evaluate trade-offs. - **Hands-on technical ability:** Proficient in at least one of **Python, Java, or SQL**; able to explore data, work in notebooks, read/review code and pipelines, build/adapt prototypes, and troubleshoot. - **Relevant experience:** Typically **7+ years** delivering complex, customer-facing data/analytics/AI/software engagements (or equivalent founder/technical builder

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