Sr. Forward Deployed Engineer

Databricks
Tokyo
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Collaboration","Problem-solving"]

Build and productionize customer data and AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery spanning data engineering, ML/AI model integration, and application development. Partner cross-functionally across engineering, product, developer relations, and customer teams to scope and deliver production-grade reference architectures, custom apps, and ingestion pipelines. Embed with stakeholders to ensure secure, scalable designs and provide feedback to improve Databricks products and support.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and productionize customer data and AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery spanning data engineering, ML/AI model integration, and application development. Partner cross-functionally across engineering, product, developer relations, and customer teams to scope and deliver production-grade reference architectures, custom apps, and ingestion pipelines. Embed with stakeholders to ensure secure, scalable designs and provide feedback to improve Databricks products and support.
Location: Tokyo
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Guide strategic customers through transformational big data and AI implementations, including end-to-end design, build, and deployment; coordinate scoping with engagement managers.
  • •Advise customers on architecture and design, bootstrap/implement customer projects, and support evaluation and adoption of Databricks.
  • •Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams across technical and executive stakeholders to understand challenges and deliver measurable outcomes; provide product/implementation feedback to Databricks teams.
Travel: Medium travel

Key Requirements

  • •10+ years of experience in data engineering, data platforms & analytics, or software engineering.
  • •Comfort writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • •Expertise with at least one cloud ecosystem (AWS, Azure, or GCP) and working knowledge of distributed computing with Apache Spark, including Spark runtime internals.
  • •Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
  • •Experience designing and delivering end-to-end production data architectures and applications, translating complex concepts into measurable outcomes.
Experience:10+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:Customer empathyAdaptabilityCuriosityCollaborationProblem-solving
Certifications:Databricks Certification
Languages:JapaneseEnglish
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AIAI APIsDistributed computing

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