Sr. Solutions Engineer - Public Sector (Federal Civilian)

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 reference architectures, how‑to’s, 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 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) Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Secret security clearance or willingness to obtain one is nice to have Pay Range Transparency

$152,300 — $209,450 USD

Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr Databricks