Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
Virginia
Workplace: HybridFull timeUSD 182,000 - 250,208Function: Government & Public AdministrationExperience: 6+ yearsSkills: ["Customer empathy","Cross-functional collaboration","Technical project delivery","Adaptability","Documentation"]

Work with federal government customers to design, productionize, and deploy data & AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery across data engineering, ML/AI model integration, and application development. Provide customer-facing technical guidance, embed with stakeholders, and create reusable accelerators and reference architectures that scale across accounts, while collaborating with engineering, product, project management, and support teams.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Forward Deployed Engineer (FDE) - Public Sector

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Work with federal government customers to design, productionize, and deploy data & AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery across data engineering, ML/AI model integration, and application development. Provide customer-facing technical guidance, embed with stakeholders, and create reusable accelerators and reference architectures that scale across accounts, while collaborating with engineering, product, project management, and support teams.
Location: Virginia
Workplace: Hybrid
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery by building production-grade systems, reference architectures, custom applications, and data ingestion/ML-AI model integration.
  • •Guide strategic customers through transformational big data and AI projects from end-to-end design through deployment.
  • •Empower customers by advising on architecture and design, and bootstrapping/implementing customer projects for evaluation and adoption.
  • •Own architecture and ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Collaborate with internal teams and stakeholders to deliver engagement technical components, resolve product/support issues, and contribute reusable accelerators and best practices.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • •Fluency writing code in Python, Scala, and JavaScript/TypeScript using modern frameworks.
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
  • •Deep experience with distributed computing and Apache Spark, including Spark runtime internals.
  • •Familiarity with CI/CD for production deployments and ability to design and deploy end-to-end data architectures and applications combining pipelines, ML/AI models, and user-facing interfaces.
Experience:6+ years
Skills:Customer empathyCross-functional collaborationTechnical project deliveryAdaptabilityDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScript/TypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AI modelsAI APIs

Eligibility

Security Clearance:SecretTop 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