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Databricks

Builds cloud software for data analysis and AI

Senior Deployment Strategist - FDE, Public Sector

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • Typically 7+ years of experience delivering complex, customer-facing data, analytics, artificial intelligence, or software engagements, or equivalent experience as a founder or technical builder.
  • Experience delivering data, machine learning, or generative artificial intelligence systems into production and understanding their integration, operational, and adoption challenges.
  • Ability to define product requirements, prioritize engineering work, manage scope, and lead complex agile software projects from an ambiguous problem to a measurable outcome.
  • Understanding of modern data and artificial intelligence architectures, including cloud platforms, data pipelines, data models, distributed systems, application programming interfaces, security and governance, machine learning, and generative artificial intelligence application patterns.
  • Proficiency in at least one programming language such as Python, Java, or SQL; ability to explore data, work in notebooks, read and review code and pipelines, build or adapt prototypes, and contribute to troubleshooting.
  • Ability to work onsite with customers, often 25–50% of the time and sometimes more.

Responsibilities

  • Partner with Sales to perform deep discovery, map the customer's organization, quantify business value, and define the pilot, including its minimum viable product, success criteria, and timeline.
  • Author the product requirements document, prioritize the engineering backlog, manage scope, and perform hands-on quality assurance testing.
  • Translate business requirements into data, integration, security, and operational requirements for engineers.
  • Drive the forward-deployed engineering build team through an agile delivery process, manage stakeholders from C-suite executives to individual engineers, and resolve technical or organizational blockers.
  • Lead technical discovery and design reviews; understand customer data flows, integrations, platform constraints, and operational environments; pressure-test architecture choices; and identify technical risks early.
  • Own the launch, manage the launch war room, and drive the solution from launch through adoption by gathering user feedback, iterating, and demonstrating business value.
  • Own production readiness across data quality, testing, security, performance, and operations; work with the team to diagnose and resolve issues.
  • Scope ongoing maintenance, create customer documentation and training, identify subsequent high-value engagements, codify reusable solution patterns, and relay field insights to Product and Engineering.

Desired Qualifications

  • Experience in a high-growth technology company, forward-deployed organization, or leading consultancy.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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