Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
Chicago
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Consulting","Client management"]

As a Resident Solutions Architect in Professional Services, you’ll lead data engineering, data science, and cloud projects for public-sector clients on short-to-medium engagements, designing reference architectures, guiding end-to-end deployments of big data and AI applications, and ensuring adoption of Databricks solutions while collaborating with engineers, project managers, and client teams across multiple cloud ecosystems.

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FursaFursa
Databricks
Databricks
4 months ago

Sr. Forward Deployed Engineer (FDE) - Public Sector

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

As a Resident Solutions Architect in Professional Services, you’ll lead data engineering, data science, and cloud projects for public-sector clients on short-to-medium engagements, designing reference architectures, guiding end-to-end deployments of big data and AI applications, and ensuring adoption of Databricks solutions while collaborating with engineers, project managers, and client teams across multiple cloud ecosystems.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and build reference architectures, create how-tos, and productionalize customer use cases
  • •Scope professional services work with input from the customer and engagement managers
  • •Guide strategic customers through end-to-end design, build and deployment of big data and AI applications
  • •Consult on architecture and design; bootstrap or implement customer projects to drive adoption of Databricks
  • •Provide escalated support for customer operational issues
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Comfortable writing code in either Python or Scala
  • •Working knowledge of two or more common 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
Experience:6+ yearsData engineeringBig dataData analyticsCloud
Skills:CommunicationProblem-solvingConsultingClient management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOpsDatabricks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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