Sr. Solutions Architect - Public Sector (Big Data)

TL;DR

Sr. Solutions Architect - Public Sector (Big Data): Leading the growth of the Databricks Unified Analytics Platform for public sector clients with an accent on distributed data systems and cloud architecture. Focus on implementing proof of concepts, designing reference architectures, and guiding customers through the adoption of Spark, Delta Lake, and MLflow.

Location: Maryland, Virginia, or Washington, D.C. Must be a US Citizen

Salary: $219,100 — $301,300 USD

Company

Databricks is the data and AI company providing a Unified Analytics Platform used by over 10,000 organizations worldwide to unify data, analytics, and AI.

What you will do

• Partner with sales teams to help public sector 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 Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across developer communities.
• Travel to customers within the assigned region.

Requirements

• 8+ 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.
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
• US Citizenship is required.

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 specific region.
• Opportunity to work with cutting-edge open-source technology including Apache Spark and MLflow.
• Collaborative environment with expertise in cloud platforms, data engineering, and AI.
• Strong commitment to diversity, inclusion, and equal employment opportunity standards.