Staff Forward Deployed Engineer

Databricks
India
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 15+ yearsSkills: ["Problem solving","Critical thinking","Stakeholder management","Documentation","Customer obsession"]

Partner with customers in a Professional Services role to solve big data challenges using the Databricks platform. Serve as a trusted advisor delivering tailored data engineering and data science solutions across cloud environments. Design and build scalable automation utilities, create reference architectures and how-to guides, and support deployments and integrations. Lead multiple customer projects by ensuring well-architected quality, mitigating risks, and driving continuous product improvements through close collaboration with engineering and customer support.

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FursaFursa
Databricks
Databricks
2 months ago

Staff Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Partner with customers in a Professional Services role to solve big data challenges using the Databricks platform. Serve as a trusted advisor delivering tailored data engineering and data science solutions across cloud environments. Design and build scalable automation utilities, create reference architectures and how-to guides, and support deployments and integrations. Lead multiple customer projects by ensuring well-architected quality, mitigating risks, and driving continuous product improvements through close collaboration with engineering and customer support.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Collaborate on customer big data projects, including reference architectures, how-to guides, and building production-ready scalable tools.
  • •Advise strategic customers on transformational big data initiatives, including design, build, and deployment of big data and AI applications.
  • •Provide architecture and design expertise to support adoption and integration of Databricks solutions.
  • •Partner with Engineering and Customer Support teams to resolve engagement-specific issues and drive continuous product improvements.
  • •Simultaneously manage and guide multiple projects by applying well-architected principles, mitigating risks, and building customer trust.

Key Requirements

  • •15+ years experience with Big Data technologies (Apache Spark, Kafka), Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
  • •6+ years of experience working on Big Data Architectures independently.
  • •2+ years of experience working on AI based implementations including RAG, MCP, and context engineering.
  • •Strong experience working in the Databricks ecosystem.
  • •Comfortable writing code in Python or Scala, and experience across cloud platforms (GCP, AWS, Azure).
Experience:15+ yearsBig dataCloud nativeData lakesArtificial intelligenceCustomer-facing consulting
Skills:Problem solvingCritical thinkingStakeholder managementDocumentationCustomer obsession
Languages:English
Tech Stack:DatabricksApache SparkKafkaPythonScalaRAGMCPContext engineeringGCPAWSAzureData lakesDelta LakeMLflowLakehouse

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