Sr. Forward Deployed Engineer (FDE) - Manufacturing

Databricks
Boston
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Teamwork","Customer orientation"]

A client-facing resident solutions architect on the Databricks Professional Services team designs and delivers big data and AI projects by leveraging Python/Scala, Spark, and cloud platforms. You’ll guide customers through end-to-end architecture, deployment, and integration of Databricks-based solutions, working with engagement managers, engineers, and support to ensure successful adoption and production readiness while traveling up to 30%.

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FursaFursa
Databricks
Databricks
5 months ago

Sr. Forward Deployed Engineer (FDE) - Manufacturing

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

A client-facing resident solutions architect on the Databricks Professional Services team designs and delivers big data and AI projects by leveraging Python/Scala, Spark, and cloud platforms. You’ll guide customers through end-to-end architecture, deployment, and integration of Databricks-based solutions, working with engagement managers, engineers, and support to ensure successful adoption and production readiness while traveling up to 30%.
Location: Boston
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and build reference architectures and productionize customer use cases
  • •Scope professional services work with input from the customer and 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 to drive adoption of Databricks
  • •Provide escalation-level support for customer operational issues
Travel: Medium travel

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+ yearsData engineeringData platformsAnalyticsCloudBig dataAI
Skills:CommunicationProblem-solvingTeamworkCustomer orientation
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