Staff Forward Deployed EngineerPosted today$220K

Databricks
Apply now

The opportunity

Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time. It requires an active Secret or Top Secret clearance OR the willingness and eligibility to obtain one.

What you'll do

  • 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. Develop frameworks and tools adopted beyond the immediate team and influences Product and Engineering by surfacing platform gaps and roadmap priorities.

  • 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. Work with engagement managers to scope technical delivery work with input from the customer

  • 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.

What they're looking for

  • 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.
  • + years experience in data engineering, data platforms & analytics, or software engineering
  • Expertise working with code in either Python, Scala, JavaScript/TypeScript, and modern frameworks