Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Customer service","Conflict management","Collaboration"]

Resident Solutions Architect on the Professional Services team, delivering data engineering, data science, and cloud projects for public sector customers using the Databricks platform. You’ll design reference architectures, guide end-to-end deployments, collaborate with engagement managers and engineering teams, and provide deep technical guidance while ensuring customer success and timely delivery on billable engagements.

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FursaFursa
Databricks
Databricks
7 months ago

Sr. Forward Deployed Engineer (FDE) - Public Sector

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Resident Solutions Architect on the Professional Services team, delivering data engineering, data science, and cloud projects for public sector customers using the Databricks platform. You’ll design reference architectures, guide end-to-end deployments, collaborate with engagement managers and engineering teams, and provide deep technical guidance while ensuring customer success and timely delivery on billable engagements.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Handle a variety of customer technical projects including designing and building reference architectures, creating how-to guides, and productionalizing customer use cases.
  • •Collaborate with engagement managers to scope professional services work with input from the customer.
  • •Guide strategic customers through end-to-end design, build and deployment of data and AI applications using the Databricks platform.
  • •Provide architecture and design consultation and bootstrap or implement customer projects to support adoption of Databricks.
  • •Provide escalated support for customer operational issues.
Travel: Low travel

Key Requirements

  • •US Top Secret Clearance required
  • •6+ years of experience in data engineering, data platforms & analytics
  • •Proficiency in Python or Scala
  • •Working knowledge of two or more 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
Experience:6+ yearsPublic sectorData analyticsBig data
Education:Bachelor's
Skills:CommunicationProblem-solvingCustomer serviceConflict managementCollaboration
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOpsDatabricks

Eligibility

Security Clearance:Top 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