Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
Dallas
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Leadership"]

Designs and delivers data engineering, data science, and cloud-based solutions for public sector customers using the Databricks platform. Leads end-to-end engagements from architecture to deployment, collaborates with engagement managers and engineering teams, and guides customers through transformations and migrations while ensuring successful adoption and value realization.

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FursaFursa
Databricks
Databricks
4 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: 4 hours agoStatus: Live

Job Summary

Designs and delivers data engineering, data science, and cloud-based solutions for public sector customers using the Databricks platform. Leads end-to-end engagements from architecture to deployment, collaborates with engagement managers and engineering teams, and guides customers through transformations and migrations while ensuring successful adoption and value realization.
Location: Dallas
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and architect end-to-end data architectures, including reference architectures and production-ready use cases.
  • •Lead engagement planning with managers and customers to scope professional services work based on customer input.
  • •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 ensuring successful adoption of Databricks.
  • •Provide escalated support for customer operational issues and coordinate with engineering and customer support for issue resolution.
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

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 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 engineeringAnalyticsCloud
Skills:CommunicationProblem-solvingLeadership
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOps

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
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