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

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

The Resident Solutions Architect (Big Data Solutions Architect) leads and executes data engineering, data science, and cloud-based projects for clients using the Databricks platform. You will design reference architectures, guide end-to-end data and AI implementations, and collaborate with engagement managers, engineers, and client teams to deliver production-ready solutions with strong customer service. Travel up to 20% to customer sites.

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FursaFursa
Databricks
Databricks
4 months ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

The Resident Solutions Architect (Big Data Solutions Architect) leads and executes data engineering, data science, and cloud-based projects for clients using the Databricks platform. You will design reference architectures, guide end-to-end data and AI implementations, and collaborate with engagement managers, engineers, and client teams to deliver production-ready solutions with strong customer service. Travel up to 20% to customer sites.
Location: Austin
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and deliver end-to-end data architectures and reference architectures for big data and AI projects.
  • •Collaborate with engagement managers to scope professional services work and align with customer input.
  • •Guide customers through implementation, deployment, and adoption of Databricks-based solutions.
  • •Provide escalated support for operational issues and coordinate with engineering and support teams for rapid issue resolution.
  • •Communicate with clients and internal teams to ensure engagement components meet customer needs and timelines.
Travel: Medium travel

Key Requirements

  • •6+ years 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 Spark runtime internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsBig dataCloudData engineeringAnalytics
Skills:CommunicationProblem-solvingCustomer serviceConsulting
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