Databricks
Technology
Sr.SolutionsEngineer-PublicSector(DefenseIndustrialBase)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Solutions Engineer - Public Sector (Defense Industrial Base) at Databricks. Skills: Unified Analytics Platform, Data Engineering, Data Analytics, Data Science, Machine Learning. Partner with sales team. Help customers understand Databricks”
What You'll Achieve.
Accomplish value
Industry & Context.
Problem solving; Troubleshooting
Travel to customers, Secret security clearance
What They're Looking For.
Must Have
5+ years pre-sales, 5+ years technical architecture, 5+ years consulting, Programming in Python, Programming in Scala, Programming in Java, Programming in SQL, Programming in R, Supporting Public Sector clients, Solutions with AWS, Solutions with Azure, Solutions with GCP, Data Engineering technologies, Data Warehousing, Data Science technologies, Machine Learning technologies
Nice to Have
Degree in quantitative discipline, Secret security clearance, Willingness to obtain clearance
What You'll Do.
Partner with sales team
Help customers understand Databricks
Provide technical leadership
Consult on big data architecture
Implement proof of concepts
Validate integrations
Build reference architectures
Present demo applications
Promote Databricks open-source projects
How You'll Work.
Team & Collaboration
Work with customers; Work with teammates; Work with product team; Work with post-sales teams; Partner with sales team
Communication Scope
Technical presentations; Customer presentations
Full Job Description
FEQ427R313 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, or R Experie
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