Sr. Solutions Engineer (Public Sector)

TL;DR

Sr. Solutions Engineer (Data & AI): Leading the growth of the Databricks Unified Analytics Platform for the public sector with an accent on cloud platforms, data engineering, and machine learning. Focus on designing distributed data systems, implementing proof of concepts, and guiding customers through technical implementation.

Location: Must be based in the US (McLean, VA or Washington, D.C. preferred; other US locations considered)

Salary: $152,300 — $209,450 USD

Company

Databricks is a data and AI company providing a Data Intelligence Platform to unify and democratize data, analytics, and AI for thousands of organizations worldwide.

What you will do

• Partner with the sales team to help customers solve business problems using the Databricks platform.
• Provide technical leadership to guide customers through the evaluation and adoption of Databricks.
• Consult on big data architecture and implement proof of concepts for strategic customer projects.
• Build and present reference architectures, how-to guides, and demo applications.
• Promote open-source projects such as Apache Spark, Delta Lake, and MLflow within developer communities.
• Travel to customers within your region to build relationships and act as a trusted advisor.

Requirements

• 5+ years of experience in customer-facing pre-sales, technical architecture, or consulting.
• Proven experience designing and architecting distributed data systems.
• Proficiency in programming and debugging in at least one of: Python, Scala, Java, SQL, or R.
• Experience supporting Public Sector clients.
• Hands-on experience building solutions with AWS, Azure, or GCP.
• Secret security clearance or willingness to obtain one.

Nice to have

• Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.

Culture & Benefits

• Comprehensive benefits and perks tailored to the employee's region.
• Inclusive culture with a strong commitment to diversity and equal employment opportunity.
• Opportunity to work with a global leader in the data and AI space.