Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
Boston
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Customer service","Presentation","Problem-solving","Consulting"]

Join the Professional Services team as a Big Data Solutions Architect (Resident Solutions Architect) helping customers tackle complex data engineering, data science, and cloud projects on the Databricks platform. You’ll design reference architectures, guide end-to-end deployments, and collaborate with engagement managers, engineers, and customers to deliver high-value big data and AI solutions while traveling up to 20%.

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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: 4 hours agoStatus: Live

Job Summary

Join the Professional Services team as a Big Data Solutions Architect (Resident Solutions Architect) helping customers tackle complex data engineering, data science, and cloud projects on the Databricks platform. You’ll design reference architectures, guide end-to-end deployments, and collaborate with engagement managers, engineers, and customers to deliver high-value big data and AI solutions while traveling up to 20%.
Location: Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design reference architectures and productionalize customer use cases on the Databricks platform.
  • •Work 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 big data and AI applications.
  • •Consult on architecture and design; bootstrap or implement customer projects to enable adoption of Databricks solutions.
  • •Provide escalated level of support for customer operational issues and coordinate with engineering and support teams.
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Proficient in Python or Scala
  • •Experience with 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 engineeringData platformsAnalyticsBig data
Skills:CommunicationCustomer servicePresentationProblem-solvingConsulting
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOps

Eligibility

Nationality:US National
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