Senior Forward Deployed Engineer – Public Sector

Databricks

Senior Forward Deployed Engineer delivering Databricks data and AI solutions for U.S. public-sector customers.

Posted 8/10/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $182,000 - $250,208 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying big data and AI applications, with a strong focus on data engineering, cloud ecosystems, and Databricks solutions. Proven ability to manage technical projects, collaborate with cross-functional teams, and provide escalated customer support.

Highest-signal resume keywords

Data EngineeringPython ProgrammingApache SparkCloud Ecosystems (AWS, Azure, GCP)Databricks Solutions

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data PlatformsAnalyticsMLOpsCI/CDEnd-to-End Data ArchitecturesTechnical Project DeliveryDocumentation SkillsWhiteboarding Skills

Soft Skills

Client ManagementConflict Resolution

Tools & Technologies

DatabricksApache Spark

Certifications & Qualifications

U.S. Secret Clearance

Industry Keywords

Big DataTransformational ProjectsThird-Party Migrations

Tech Stack

Tools & technologies

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformPythonScalaSpark

About the role

Key responsibilities & impact

Handle impactful customer technical projects, including designing and building reference architectures, creating how-to guides, and productionalizing customer use cases
Work with engagement managers to scope professional services work with customer input
Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment of big data and AI applications
Consult on architecture and design; bootstrap or implement customer projects to support understanding, evaluation, and adoption of Databricks
Provide escalated support for customer operational issues
Collaborate with Databricks Technical, Project Manager, Architect, and Customer teams to deliver technical engagement components
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and rapidly resolve engagement-specific issues
Report to the regional Manager/Lead

Requirements

What you’ll need

U.S. Secret clearance or above required
6+ years of experience in data engineering, data platforms, and analytics
Comfortable writing code in Python or Scala
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
Experience designing and deploying performant end-to-end data architectures
Experience with technical project delivery, including managing scope and timelines
Documentation and whiteboarding skills
Experience working with clients and managing conflicts
Technical skills supporting deployment and integration of Databricks-based solutions
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Ability to travel up to 30% when needed

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks (specific regional details provided via Databricks benefits document)