Sr. Forward Deployed Engineer (FDE) - Manufacturing

Databricks
Seattle
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Python","Scala","Spark","CI/CD","MLOps","Data engineering","Cloud","AI"]

Responsible for leading data engineering, data science, and cloud technology projects for manufacturing clients, designing reference architectures, and guiding end-to-end Databricks deployments. You’ll work with engagement managers and client teams on medium-term engagements, delivering scalable data solutions, ensuring adoption, and providing high-level technical support across cloud ecosystems and Spark-based architectures.

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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: 11 hours agoStatus: Live

Job Summary

Responsible for leading data engineering, data science, and cloud technology projects for manufacturing clients, designing reference architectures, and guiding end-to-end Databricks deployments. You’ll work with engagement managers and client teams on medium-term engagements, delivering scalable data solutions, ensuring adoption, and providing high-level technical support across cloud ecosystems and Spark-based architectures.
Location: Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • •Work with engagement managers to scope variety of professional services work with input from the customer
  • •Guide strategic customers as they implement transformational big data projects, 3rd party migrations, 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 which leads to a customers' successful understanding, evaluation and adoption of Databricks
  • •Provide an escalated level of support for customer operational issues
Travel: Medium travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

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+ yearsData analyticsCloudBig dataAI
Skills:PythonScalaSparkCI/CDMLOpsData engineeringCloudAI
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/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