Sr. Forward Deployed Engineer

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Leadership","Problem-solving","Customer-facing","Collaboration"]

Senior, hands-on engineer delivering production-grade data and AI solutions for enterprise customers. You will own architecture, lead design decisions across data engineering, ML/AI models, and applications, and collaborate with engineering, product, and client teams to ensure secure, scalable deployments and measurable customer impact.

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FursaFursa
Databricks
Databricks
3 months 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: 14 hours agoStatus: Live

Job Summary

Senior, hands-on engineer delivering production-grade data and AI solutions for enterprise customers. You will own architecture, lead design decisions across data engineering, ML/AI models, and applications, and collaborate with engineering, product, and client teams to ensure secure, scalable deployments and measurable customer impact.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead production-grade data and AI solution delivery for customer projects, including architecture and reference designs.
  • •Guide end-to-end design and deployment of data pipelines, ML/AI models, and user-facing interfaces in production.
  • •Collaborate with engagement managers, engineers, and customer teams to scope, deliver, and validate technical work.
  • •Embed with customer teams to understand challenges, deliver impact, and enable adoption of the Databricks platform.
  • •Contribute accelerators, frameworks, and best practices to scale impact across accounts and inform product roadmaps.
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics, or software engineering
  • •Proficient in Python, Scala, or JavaScript/TypeScript with modern frameworks
  • •Experience with two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • •Deep experience with distributed computing using Apache Spark and knowledge of Spark internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsData engineeringAnalyticsSoftware engineering
Skills:CommunicationLeadershipProblem-solvingCustomer-facingCollaboration
Languages:JapaneseEnglish
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsMLflow

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