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

Databricks
Chicago
Workplace: HybridFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Customer service","Team collaboration"]

Seasoned data engineering and cloud architecture professional delivering end-to-end big data and AI projects for clients using the Databricks platform. Leads design, builds reference architectures, and guides customers through deployment, with frequent collaboration across engineering, project management, and customer teams to ensure value realization.

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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

Seasoned data engineering and cloud architecture professional delivering end-to-end big data and AI projects for clients using the Databricks platform. Leads design, builds reference architectures, and guides customers through deployment, with frequent collaboration across engineering, project management, and customer teams to ensure value realization.
Location: Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and architect end-to-end data and AI solutions within customer engagements; build reference architectures and productionalize customer use cases
  • •Collaborate with engagement managers to scope professional services work with input from customers
  • •Guide strategic customers through transformational big data projects, migrations, and deployments of Databricks-based solutions
  • •Provide architectural guidance and assist with implementation to ensure successful adoption and value realization
  • •Coordinate with Databricks engineering, PMs, and support teams to resolve product or engagement-specific issues and deliver components as requested
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years of experience in data engineering, data platforms and analytics
  • •Proficient 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 using Apache Spark and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments; knowledge of MLOps; ability to design and deploy performant end-to-end data architectures
Experience:6+ yearsBig dataData engineeringCloudAnalytics
Skills:CommunicationProblem-solvingCustomer serviceTeam collaboration
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaApache SparkAWSAzureGCPCI/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