Sr. Forward Deployed Engineer - National Security Professional Services

Databricks
Boston, Delaware, Maryland, California, New York, Virginia, West Virginia
Workplace: HybridFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Cross-functional collaboration","Technical project delivery"]

Build and productionize Databricks solutions for U.S. federal government customers, owning architecture and leading end-to-end design across data engineering, AI/ML, and application development. Deliver production-grade reference architectures, custom applications, and data/ML integrations, while guiding strategic customers through big data and AI initiatives. Work cross-functionally with engineering, product, developer relations, and customer teams to train, troubleshoot, and scale reusable assets that drive measurable outcomes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 days ago

Sr. Forward Deployed Engineer - National Security Professional Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and productionize Databricks solutions for U.S. federal government customers, owning architecture and leading end-to-end design across data engineering, AI/ML, and application development. Deliver production-grade reference architectures, custom applications, and data/ML integrations, while guiding strategic customers through big data and AI initiatives. Work cross-functionally with engineering, product, developer relations, and customer teams to train, troubleshoot, and scale reusable assets that drive measurable outcomes.
Location: Boston, Delaware, Maryland, California, New York, Virginia, West Virginia
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production-grade customer technical projects, including reference architectures, custom applications, and data ingestion/ML-AI integration.
  • •Drive end-to-end design, build, and deployment of big data and AI solutions, scoping work with engagement managers and customer input.
  • •Guide customers on architecture and design to support adoption and successful evaluation of Databricks.
  • •Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Collaborate with Databricks engineering and support teams to deliver engagement components, resolve technical issues, and contribute reusable accelerators and frameworks.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • •Fluency writing code in Python, Scala, and JavaScript/TypeScript with modern frameworks.
  • •Expertise in distributed computing with Apache Spark and knowledge of Spark runtime internals.
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • •Experience with production delivery, CI/CD, and end-to-end data architectures combining data pipelines, ML/AI models, and user-facing interfaces.
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataAI/MLMLOps
Skills:Customer empathyAdaptabilityCuriosityCross-functional collaborationTechnical project delivery
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AI modelsAI APIsData pipelinesDistributed computing

Eligibility

Nationality:US National
Security Clearance:Secret

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn