Senior Forward Deployed Engineer – Public Sector

Databricks

Senior Forward Deployed Engineer building production data and AI solutions for Databricks’ federal government customers. Owning architecture, delivery, and customer adoption of the Databricks platform.

Posted 8/18/2026full-timeVirginia • 🇺🇸 United StatesSenior💰 $182,000 - $250,208 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical projects for federal government clients, focusing on the design, build, and deployment of scalable data architectures and AI applications. Proficient in Python, Scala, and cloud ecosystems, with a strong emphasis on MLOps and Databricks best practices.

Highest-signal resume keywords

Data EngineeringPython ProgrammingApache SparkMLOpsDatabricks Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PlatformsAnalyticsSoftware EngineeringCloud EcosystemsCI/CDData ArchitecturesData PipelinesML/AI ModelsJavaScript/TypeScriptScala

Soft Skills

Stakeholder ManagementConflict ResolutionCollaboration

Tools & Technologies

AWSAzureGCPDatabricks

Certifications & Qualifications

Active Secret ClearanceTop Secret ClearanceDatabricks Certification

Industry Keywords

Big DataAI ApplicationsTechnical Project DeliveryProduction DeploymentsReference Architectures

Tech Stack

Tools & technologies

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformJavaScriptPythonScalaSparkTypeScript

About the role

Key responsibilities & impact

Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations
Guide strategic federal government customers through end-to-end design, build, and deployment of big data and AI applications
Scope technical delivery work with engagement managers and customer input
Guide customers on architecture and design; bootstrap or implement projects to support evaluation and adoption of Databricks
Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
Collaborate with Databricks technical teams, Project Managers, Architects, and customer teams to deliver technical engagement components
Work with Engineers and Customer Support to provide product and implementation feedback and resolve engagement-specific issues
Embed with customer teams and engage stakeholders from technical individual contributors to executives
Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap

Requirements

What you’ll need

6+ 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 common cloud ecosystems (AWS, Azure, 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 broad stakeholder groups
Active Secret or Top Secret clearance required
Databricks Certification preferred

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks, with region-specific details provided by Databricks