Sr. Forward Deployed Engineer - Public Sector

Databricks
California, Washington, Maryland, Virginia
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Government & Public AdministrationExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Stakeholder management","Documentation"]

Work hands-on with public sector customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and lead design decisions across data engineering, ML/AI integration, and application development, while collaborating with engineering, product, project managers, and customer support. Deliver production-grade reference architectures, guide adoption through customer immersion, and create reusable accelerators that scale impact across accounts.

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FursaFursa
Databricks
Databricks
3 days ago

Sr. Forward Deployed Engineer - Public Sector

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Work hands-on with public sector customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and lead design decisions across data engineering, ML/AI integration, and application development, while collaborating with engineering, product, project managers, and customer support. Deliver production-grade reference architectures, guide adoption through customer immersion, and create reusable accelerators that scale impact across accounts.
Location: California, Washington, Maryland, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Mid level

Key Responsibilities

  • •Lead customer technical projects by delivering production-grade systems and reference architectures, including data ingestion and ML/AI model integration.
  • •Guide strategic customers through transformational big data and AI initiatives, working with engagement managers to scope technical delivery.
  • •Guide customers on architecture and design, bootstrap or implement customer projects, and support adoption of Databricks.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams to understand challenges and deliver measurable outcomes, while coordinating with Databricks engineering, project managers, and customer support.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

  • •6+ years in data engineering, data platforms & analytics, or software engineering
  • •Comfort writing code in Python, Scala, and/or JavaScript/TypeScript with modern frameworks
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • •Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:Customer empathyAdaptabilityCuriosityStakeholder managementDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScript/TypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIs

Eligibility

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