Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
Virginia
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Customer service"]

A Senior Resident Solutions Architect on the Professional Services team delivering data engineering, data science, and cloud-based projects for public sector clients. Design and implement end-to-end data architectures, guide customers through big data and AI deployments, coordinate with engagement teams, and provide escalation support while working across AWS/Azure/GCP ecosystems and Spark-based workloads. Requires U.S. citizenship and ability to travel up to 30% with on-site client collaboration.

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FursaFursa
Databricks
Databricks
5 months ago

Sr. Forward Deployed Engineer (FDE) - Public Sector

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

A Senior Resident Solutions Architect on the Professional Services team delivering data engineering, data science, and cloud-based projects for public sector clients. Design and implement end-to-end data architectures, guide customers through big data and AI deployments, coordinate with engagement teams, and provide escalation support while working across AWS/Azure/GCP ecosystems and Spark-based workloads. Requires U.S. citizenship and ability to travel up to 30% with on-site client collaboration.
Location: Virginia
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and build reference architectures and production-ready customer use cases.
  • •Scope professional services work with input from the customer, in collaboration with 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 enable successful understanding, evaluation, and adoption of Databricks.
  • •Provide escalated support for customer operational issues.
Travel: Medium travel

Key Requirements

  • •US Top Secret Clearance Required this position
  • •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
Experience:6+ yearsData engineeringData platformsAnalyticsCloud
Education:Bachelor's
Skills:CommunicationPresentationCustomer service
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkCI/CDMLOps

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
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