Forward Deployed Engineer

Databricks
Tokyo
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Customer empathy","Architecture and design leadership","Problem-solving","Adaptability","Documentation"]

Build and productionize customer solutions on the Databricks platform, owning architecture and leading end-to-end design decisions across data engineering, ML/AI integration, and application development. Deliver production-grade reference architectures and reusable accelerators, guide strategic customers through transformational big data and AI deployments, and embed with customer teams to ensure measurable outcomes. Partner with engineering, project, and support teams to resolve product and implementation issues while aligning with Databricks best practices.

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FursaFursa
Databricks
Databricks
1 day ago

Forward Deployed Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and productionize customer solutions on the Databricks platform, owning architecture and leading end-to-end design decisions across data engineering, ML/AI integration, and application development. Deliver production-grade reference architectures and reusable accelerators, guide strategic customers through transformational big data and AI deployments, and embed with customer teams to ensure measurable outcomes. Partner with engineering, project, and support teams to resolve product and implementation issues while aligning with Databricks best practices.
Location: Tokyo
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead impactful customer technical projects by delivering production-grade systems, reference architectures, and data ingestion with ML/AI model integration.
  • •Guide strategic customers through transformational big data and AI deployments, including end-to-end design, build, and deployment.
  • •Bootstrap or implement customer projects to drive customer understanding, evaluation, and adoption of Databricks.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams, collaborate with Databricks technical and support teams, and provide product/implementation feedback for rapid resolution of engagement issues.
Travel: Low travel

Key Requirements

  • •8+ years of experience in data engineering, data platforms & analytics, or software engineering.
  • •Comfort writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • •Expertise in at least one cloud ecosystem (AWS, Azure, GCP) and working knowledge of two or more.
  • •Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • •Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
Experience:8+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataML/AIEnterprise clients
Skills:Customer empathyArchitecture and design leadershipProblem-solvingAdaptabilityDocumentation
Certifications:Databricks Certification
Languages:JapaneseEnglish
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AI modelsAI APIsData pipelinesDistributed computingSpark runtime

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