Solutions Architect - Public Sector (Federal Healthcare)

Location: Maryland, Virginia, or Washington, D.C.

Salary: $180,000–$247,500 USD annually; total compensation may also include an annual performance bonus, equity, and benefits.

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, and agents.

What you will do

• Own end-to-end technical strategy for federal healthcare customer accounts from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, real-time analytics, distributed data systems, streaming, lakehouse patterns, and cloud-native data platforms.
• Advise customer architects, engineering leads, and Directors on technical strategy, design reviews, whiteboarding, and trade-offs.
• Drive technical wins in competitive scenarios through custom-built solutions and demonstrate Databricks differentiation.
• Develop a technical specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
• Coordinate DSAs, SSAs, and partners, provide structured product feedback, and influence product direction.

Requirements

• 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing technical specialization in one relevant area.
• Ability to lead architecture discussions with senior technical stakeholders through whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills, including translating complex architectures into business value for technical and executive audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications in Data Engineer, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in Financial Services, Healthcare, Retail, Media, or another relevant domain.

Culture & Benefits

• Comprehensive benefits and perks are offered according to the employee’s region.
• Eligibility may include an annual performance bonus, equity, and regional benefits.
• Databricks promotes an inclusive workplace and equal employment opportunity.
• Access to export-controlled technology or source code may require a U.S. government license at the employer’s discretion.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
• Reference check.