Sr. Forward Deployed Engineer (Public Sector)

Location: Alabama; Berkeley, California; Connecticut; Kansas City, Missouri; Maryland; New Hampshire; New Jersey; North Carolina; Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - Missouri; Remote - New York; Remote - Pennsylvania; Remote - Virginia; Remote - Washington; Remote - Washington D.C.; Rhode Island; San Diego, California; South Carolina. Requires 25% travel to client sites.

Salary: $182,000–$250,208 USD annual base salary, depending on location and candidate factors.

Company

Databricks builds and operates a data and AI infrastructure platform used to develop data applications, analytics, machine learning solutions, and AI systems.

What you will do

• Build and productionize data, AI, and application solutions for federal, state, and local government customers.
• Own architecture and lead design decisions for secure, scalable end-to-end systems.
• Design and deliver reference architectures, custom applications, data ingestion, and ML/AI model integrations.
• Guide customers through architecture, implementation, evaluation, adoption, training, and technical enablement.
• Coordinate with engagement managers, project managers, architects, engineers, customer support, and customer stakeholders.
• Create reusable accelerators, frameworks, and best practices while providing product and implementation feedback.

Requirements

• 5+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Fluency writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
• Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models, and AI APIs.
• Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery, documentation, and whiteboarding.
• Experience working with enterprise clients and managing conflicts across a broad range of stakeholders.
• Eligibility for a U.S. government Public Trust, Secret, and/or Top Secret clearance is required to access classified information; interest and eligibility to obtain an active Public Trust or higher clearance is strongly encouraged.

Nice to have

• 8+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Databricks Certification.
• Expertise in MLOps, ML/AI models, and AI APIs.

Culture & Benefits

• Hands-on, customer-facing work at the intersection of technology and business impact.
• Collaboration with engineering, product, developer relations, project, architecture, and customer teams.
• Comprehensive employee benefits and perks, with details varying by region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Annual performance bonus, equity, and additional benefits may be included in the total compensation package.

Hiring process

• Applicants must meet the applicable U.S. government clearance eligibility and client site access requirements.
• Access to export-controlled technology or source code may require a U.S. government license at the employer's discretion.