Staff Forward Deployed Engineer

As a Staff Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform.

You will manage and lead technical design and implementations that integrate multiple platform capabilities for high-complexity, multi-faceted engagements. You'll also have the opportunity to influence by mentoring FDEs, customer and partner team members, as well as serve as a trusted advisor to both technical teams and senior leaders by connecting technical decisions to measurable business outcomes. In addition, you will expand platform adoption and restore confidence in at-risk accounts by tailoring the approach to the customer's industry, maturity, and team context.

The impact you will have:

• Production Solution Delivery: Lead cross-functional execution for complex engagements, coordinating with FDE engagement teams, Sales, Product/Engineering, xSAs and Partner teams to remove roadblocks and scale best practices.
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 7+ years experience in data engineering, data platforms & analytics, or software engineering
• Expertise working with code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Experience with two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Experience owning large-scale projects impacting multiple teams and BUs independently and work with account teams to grow Databricks consumption
• Deliver quantifiable impact outside of the immediate team
• 3+ years of experience with MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
• Experience with technical project delivery at the Director level or above, including managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions