Sr. Forward Deployed Engineer (FDE) - Manufacturing

Databricks
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving"]

A Resident Solutions Architect on the Professional Services team leads data engineering, data science, and cloud-based projects for manufacturing customers, architecting reference architectures, guiding end-to-end deployments of Databricks-based solutions, and ensuring customer success through design, implementation, and collaboration with multiple Databricks teams. This role is billable, involves travel up to 30%, and reports to a regional Manager/Lead.

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FursaFursa
Databricks
Databricks
8 months ago

Sr. Forward Deployed Engineer (FDE) - Manufacturing

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

A Resident Solutions Architect on the Professional Services team leads data engineering, data science, and cloud-based projects for manufacturing customers, architecting reference architectures, guiding end-to-end deployments of Databricks-based solutions, and ensuring customer success through design, implementation, and collaboration with multiple Databricks teams. This role is billable, involves travel up to 30%, and reports to a regional Manager/Lead.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Handle a variety of impactful customer technical projects including designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • •Work with engagement managers to scope professional services work with input from the customer
  • •Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • •Consult on architecture and design; bootstrap or implement customer projects to drive understanding, evaluation and adoption of Databricks
  • •Provide an escalated level of support for customer operational issues
Travel: Low 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 platformsAnalytics
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/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