Sr. Solutions Engineer - Public Sector

Responsibilities

• 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 reference 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

Requirements

• 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
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in at least one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Secret security clearance or willingness to obtain one

Nice-to-Haves

• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)