Sr. Forward Deployed Engineer (FDE) - Digital Native Business

Databricks
San Francisco, Seattle
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","White-boarding skills","Stakeholder management"]

Build and productionize customer solutions on the Databricks platform in a hands-on, customer-facing Forward Deployed Engineer role. Own architecture and lead design decisions across data engineering, AI/ML integration, and application development. Deliver production-grade reference architectures, guide transformational big data and AI deployments, and embed with customer teams to drive measurable outcomes while contributing reusable accelerators and best practices at scale.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. Forward Deployed Engineer (FDE) - Digital Native Business

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and productionize customer solutions on the Databricks platform in a hands-on, customer-facing Forward Deployed Engineer role. Own architecture and lead design decisions across data engineering, AI/ML integration, and application development. Deliver production-grade reference architectures, guide transformational big data and AI deployments, and embed with customer teams to drive measurable outcomes while contributing reusable accelerators and best practices at scale.
Location: San Francisco, Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, and data ingestion/ML-AI integration
  • •Guide strategic customers through end-to-end big data and AI application design, build, and deployment, scoping work with engagement managers
  • •Provide architecture and design guidance to help customers bootstrap and adopt Databricks solutions
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices
  • •Embed with customer teams, work with Databricks technical and support teams for implementation feedback and rapid resolution, and contribute reusable accelerators/frameworks
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

  • •6+ years of experience in data engineering, data platforms & analytics, or software engineering
  • •Comfort writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
  • •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 and working knowledge of MLOps, ML/AI models, and AI APIs
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringBig dataAI/MLEnterprise clients
Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding skillsStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIs

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