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

Databricks
Seattle
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Documentation","Whiteboarding","Client management","Conflict management","Communication"]

Senior, client-facing data engineering expert focused on delivering end-to-end big data and AI projects using the Databricks platform. Works within Professional Services to design reference architectures, run end-to-end deployments, and guide customers through data engineering, data science, and cloud technology engagements. Travel to customer sites is expected; role combines architecting, hands-on delivery, and customer success.

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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

Senior, client-facing data engineering expert focused on delivering end-to-end big data and AI projects using the Databricks platform. Works within Professional Services to design reference architectures, run end-to-end deployments, and guide customers through data engineering, data science, and cloud technology engagements. Travel to customer sites is expected; role combines architecting, hands-on delivery, and customer success.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design reference architectures and productionalize customer use cases on big data projects using the Databricks platform.
  • •Collaborate 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 drive adoption of Databricks.
  • •Provide escalated support for customer operational issues and coordinate with Engineering and Support to resolve issues.
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Proficient in 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
  • •CI/CD for production deployments and knowledge of MLOps
Experience:6+ yearsData engineeringBig dataData platformsCloudSpark
Skills:DocumentationWhiteboardingClient managementConflict managementCommunication
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/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