Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

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

Serve as a Big Data Solutions Architect (Resident Solutions Architect) in Professional Services, guiding clients through short- to medium-term engagements on big data challenges using the Databricks platform. You’ll design reference architectures, lead end-to-end data engineering, data science, and cloud implementations, collaborate with engagement managers, and ensure successful adoption with architectural guidance, while traveling to customer sites ~20%.

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FursaFursa
Databricks
Databricks
4 months ago

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Serve as a Big Data Solutions Architect (Resident Solutions Architect) in Professional Services, guiding clients through short- to medium-term engagements on big data challenges using the Databricks platform. You’ll design reference architectures, lead end-to-end data engineering, data science, and cloud implementations, collaborate with engagement managers, and ensure successful adoption with architectural guidance, while traveling to customer sites ~20%.
Location: Boston
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and deploy reference architectures and productionalize customer use cases as part of professional services engagements.
  • •Collaborate with engagement managers to scope and deliver a variety of professional services 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 successful adoption of Databricks.
  • •Provide escalated support for customer operational issues and coordinate with engineering and support teams to resolve issues.
Travel: Low travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Proficient in Python or Scala
  • •Cloud experience across AWS, Azure, or GCP with expertise in at least one
  • •Distributed computing with Apache Spark and knowledge of Spark runtime internals
  • •CI/CD for production deployments, and familiarity with MLOps
Experience:6+ yearsData analyticsBig dataCloud
Skills:CommunicationCustomer serviceProblem-solvingDocumentationPresentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkCI/CDMLOpsDatabricks

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