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

Databricks
San Francisco
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Collaboration","Leadership","Customer focus"]

Lead and deliver end-to-end data engineering, data science, and cloud-based projects for clients using the Databricks platform. You’ll design reference architectures, scope professional services, guide customers through large-scale big data and AI deployments, and coordinate with engineering, project managers, and client teams to ensure successful adoption and execution, while providing escalated support as needed.

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FursaFursa
Databricks
Databricks
4 months ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead and deliver end-to-end data engineering, data science, and cloud-based projects for clients using the Databricks platform. You’ll design reference architectures, scope professional services, guide customers through large-scale big data and AI deployments, and coordinate with engineering, project managers, and client teams to ensure successful adoption and execution, while providing escalated support as needed.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design reference architectures and productionalize customer use cases on the Databricks platform.
  • •Assist in scoping professional services work with input from the customer and engagement managers.
  • •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 achieve successful adoption of Databricks.
  • •Provide escalated support for customer operational issues and coordinate with engineering and customer support for rapid issue resolution.
Travel: Medium travel

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+ yearsBig dataData engineeringCloudAnalytics
Skills:CommunicationProblem-solvingCollaborationLeadershipCustomer focus
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaApache SparkAWSAzureGCPCI/CDMLflowDelta Lake

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