Sr. Solutions Engineer - Public Sector (Federal Civilian)

FEQ327R25

While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.

The impact you will have

Partner with the sales team to help customers understand how Databricks can help solve their business problems

Provide technical leadership for customers to evaluate and adopt Databricks

Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications

Build and present references architectures, how-tos, and demo applications for customers

Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

Travel to customers in your region

What we look for

5+ years in a customer-facing pre-sales, technical architecture, or consulting role

Experience designing and architecting distributed data systems

Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL,