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

Databricks
Atlanta
Workplace: OnsiteFull-timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Collaboration","Problem-solving","Presentation","Customer service"]

Lead design and delivery of big data and AI projects on the Databricks platform for clients, shaping reference architectures, guiding deployments, and ensuring successful adoption while collaborating with engagement managers, engineers, and client teams.

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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: 5 hours agoStatus: Live

Job Summary

Lead design and delivery of big data and AI projects on the Databricks platform for clients, shaping reference architectures, guiding deployments, and ensuring successful adoption while collaborating with engagement managers, engineers, and client teams.
Location: Atlanta
Workplace: Onsite
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead and deliver end-to-end data architecture designs and reference implementations for client engagements.
  • •Collaborate with engagement managers to scope professional services work and align with customer input.
  • •Guide strategic customers through implementation of big data projects, including design, build and deployment of Databricks-based solutions.
  • •Provide architecture and design consultation to ensure customer understanding, evaluation, and adoption of Databricks.
  • •Coordinate with Databricks engineering and support teams to resolve product and deployment issues and provide feedback for rapid resolution.
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years of 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
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsBig dataData engineeringCloudData analytics
Skills:CommunicationCollaborationProblem-solvingPresentationCustomer service
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