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

Databricks
Los Angeles
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Teamwork","Customer service"]

Resident Solutions Architect leads data engineering, data science, and cloud projects for clients using the Databricks platform within Professional Services. The role designs reference architectures, scopes professional services work with customers, and guides end-to-end big data and AI deployments, while coordinating with engineering, project managers, and customer teams to ensure successful delivery and rapid issue resolution.

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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

Resident Solutions Architect leads data engineering, data science, and cloud projects for clients using the Databricks platform within Professional Services. The role designs reference architectures, scopes professional services work with customers, and guides end-to-end big data and AI deployments, while coordinating with engineering, project managers, and customer teams to ensure successful delivery and rapid issue resolution.
Location: Los Angeles
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and implement reference architectures for customer engagements and production deployments.
  • •Scope and plan professional services work with input from the customer and engagement managers.
  • •Lead end-to-end design, build, and deployment of big data and AI applications for strategic customers.
  • •Provide architecture and design consultations and help customers adopt Databricks solutions.
  • •Collaborate with Databricks engineers, project managers, architects, and customer teams to deliver engagement components and resolve product/support issues.
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Proficiency in Python or Scala
  • •Experience with two or more Cloud ecosystems (AWS, Azure, GCP) and 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+ yearsBig dataData engineeringAnalyticsCloud
Skills:CommunicationProblem-solvingTeamworkCustomer service
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkCI/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