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

Databricks
Washington
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Teamwork","Problem-solving","Customer focus","Documentation"]

Architect and deliver end-to-end big data projects using the Databricks platform within Professional Services. You’ll design reference architectures, implement customer use cases, and guide deployments across cloud environments, while collaborating with engagement managers, engineers, and client teams. This is a billable, client-facing role focused on data engineering, data science, and cloud-based solutions with travel ~20%.

Loading

Loading job details...

Preparing the role view and application actions.

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: 5 hours agoStatus: Live

Job Summary

Architect and deliver end-to-end big data projects using the Databricks platform within Professional Services. You’ll design reference architectures, implement customer use cases, and guide deployments across cloud environments, while collaborating with engagement managers, engineers, and client teams. This is a billable, client-facing role focused on data engineering, data science, and cloud-based solutions with travel ~20%.
Location: Washington
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and implement reference architectures and production-ready customer use cases.
  • •Scope and plan professional services engagements with input from customers and engagement managers.
  • •Lead end-to-end design, build, and deployment of Databricks-based data architectures for clients.
  • •Consult on architecture and design; bootstrap or implement customer projects to drive adoption of Databricks solutions.
  • •Provide escalated support for customer operational issues and coordinate with engineering and support teams to resolve issues.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually
Equity and Bonus:Equity

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 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 engineeringCloudProfessional services
Skills:CommunicationTeamworkProblem-solvingCustomer focusDocumentation
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