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

Databricks
Mountain View
Workplace: HybridFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Client management","Documentation","Teamwork"]

Lead technical engagements for big data projects using the Databricks platform, delivering data engineering, data science, and cloud solutions for enterprise clients. You’ll design reference architectures, guide migrations, and collaborate with engagement managers, architects, and customers to ensure successful deployments and adoption of Databricks products, with travel to client sites typically 20% of the time.

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FursaFursa
Databricks
Databricks
4 months ago

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

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead technical engagements for big data projects using the Databricks platform, delivering data engineering, data science, and cloud solutions for enterprise clients. You’ll design reference architectures, guide migrations, and collaborate with engagement managers, architects, and customers to ensure successful deployments and adoption of Databricks products, with travel to client sites typically 20% of the time.
Location: Mountain View
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Provide architecture and design guidance; bootstrap or implement customer projects to drive adoption of Databricks
  • •Collaborate with Engagement Managers, Architects, and Customer teams to ensure technical components are delivered to meet customer needs
  • •Design and deploy end-to-end data architectures; produce reference architectures and productionalize customer use cases
  • •Work with Engineering and Customer Support to provide product and implementation feedback and rapid issue resolution
  • •Travel to customers 20% of the time and manage project scope and timelines
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 engineeringBig dataAnalyticsCloud computing
Skills:CommunicationProblem-solvingClient managementDocumentationTeamwork
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOps

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