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

Databricks
Dallas
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Client management","Leadership","Presentation"]

Lead engagements as a Resident Solutions Architect, delivering data engineering, data science, and cloud projects on the Databricks platform for enterprise clients. You’ll design reference architectures, guide migrations, and collaborate with engineers and customers to ensure successful deployment of big data and AI solutions, while traveling to client sites about 20%.

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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

Lead engagements as a Resident Solutions Architect, delivering data engineering, data science, and cloud projects on the Databricks platform for enterprise clients. You’ll design reference architectures, guide migrations, and collaborate with engineers and customers to ensure successful deployment of big data and AI solutions, while traveling to client sites about 20%.
Location: Dallas
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and build reference architectures, creating how-to's and productionalizing customer use cases
  • •Scope a variety of professional services work with input from the customer, coordinating with 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 enabling adoption of Databricks
  • •Provide escalated level of support for customer operational issues and ensure engagement components are delivered
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 common 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 dataCloudData engineering
Skills:CommunicationProblem-solvingClient managementLeadershipPresentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaApache SparkCI/CDMLOpsAWSAzureGCP

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