Staff Forward Deployed Engineer

What you will 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.

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.