Sr. Forward Deployed Engineer

Job title: Sr. Forward Deployed Engineer

About the Role As a Sr. Forward Deployed Engineer (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and deliver projects according to specification with excellent customer service.

You will report to the Sr. Manager, Professional Services and impact customers by guiding strategic implementations, building reference architectures, and enabling end-to-end design, build, and deployment of data and AI solutions. You will collaborate with Databricks technical teams, project management, architects, and customer teams to ensure successful engagement outcomes and provide feedback for rapid issue resolution.

What You'll Do

• Lead short to medium term customer engagements solving big data challenges using the Databricks platform
• Deliver data engineering, data science, and cloud technology projects requiring integration with client systems and training
• Ensure projects are billable, delivered to specification, and accompanied by strong customer service
• Produce reference architectures, how-tos, and production-grade MVPs/greenfield projects
• Guide strategic customers through transformational big data projects and 3rd party migrations (end-to-end design, build, deployment)
• Consult on architecture and design; bootstrap or implement strategic customer projects to drive adoption of Databricks
• Provide escalated support for customer operational issues
• Collaborate with Databricks technical teams, Project Managers, Architects, and Customer teams to deliver the engagement components
• Work with Engineering and Databricks Customer Support to provide product/implementation feedback and drive rapid resolution for engagement-specific issues
• Travel to customers 20–30% of the time

What We're Looking For

• 8+ years of experience with Big Data Technologies (e.g., Apache Spark™, Kafka, Cloud Native, Data Lakes) in a customer-facing post-sales, technical architecture, or consulting role
• Comfortable writing code in Python or Scala
• Experience with technical project delivery, including scope and timeline management
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Ability to build skills in technical areas that support deployment and integration of Databricks-based solutions
• Travel to customers 20–30% of the time

Nice to Have

• Databricks Certification

Compensation & Benefits

• Benefits information is referenced but not fully detailed in the posting
• Salary range not specified in the posting

About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.