Solutions Architect (Pre-sales) – Manufacturing & Automotive

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Presentation","Whiteboarding","Storytelling","Stakeholder influence","Cross-functional collaboration","Building prototypes"]

Lead pre-sales technical engagements for strategic manufacturing and automotive customers across Japan. Translate complex automotive and manufacturing challenges into scalable data and AI solutions spanning vehicle platforms, connected-vehicle analytics, quality, supply chain, smart manufacturing, and aftersales. Run the full technical lifecycle from discovery and scoping to architecture design, workshops, demos, and proof-of-concepts, while coaching stakeholders and building tailored Databricks and cloud-based solution assets.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect (Pre-sales) – Manufacturing & Automotive

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead pre-sales technical engagements for strategic manufacturing and automotive customers across Japan. Translate complex automotive and manufacturing challenges into scalable data and AI solutions spanning vehicle platforms, connected-vehicle analytics, quality, supply chain, smart manufacturing, and aftersales. Run the full technical lifecycle from discovery and scoping to architecture design, workshops, demos, and proof-of-concepts, while coaching stakeholders and building tailored Databricks and cloud-based solution assets.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop and execute customer engagement strategies with Account Executives and Solutions Architects for strategic automotive and manufacturing accounts.
  • •Lead complex customer engagements across the full technical pre-sales lifecycle (discovery, requirements, solution scoping, architecture design, workshops, demos, proof-of-concepts, and implementation planning).
  • •Coach account teams and peers on positioning, adoption strategies, use-case prioritization, and execution plans to deliver outcomes.
  • •Influence stakeholders from engineers and data practitioners to manufacturing leaders and C-level executives by connecting technical decisions to business value.
  • •Design and communicate end-to-end solutions using Databricks and public cloud platforms, including tailored demos, prototypes, reference architectures, and migration plans.

Key Requirements

  • •Experience engaging in technical pre-sales, consulting, technical architecture, or equivalent roles across complex customers and sales lifecycles.
  • •Technical background in data engineering, data warehousing, machine learning, artificial intelligence, or related fields.
  • •Experience designing and implementing solutions on public cloud platforms, including AWS, Azure, or GCP.
  • •Hands-on expertise delivering complex proof-of-concepts and technical demonstrations.
  • •Ability to code in Python or SQL and willingness to deepen knowledge of Apache Spark (Scala, Java, or R beneficial)
Experience:AutomotiveManufacturingData and AI platformsCloudEnterprise data platforms
Skills:CommunicationPresentationWhiteboardingStorytellingStakeholder influenceCross-functional collaborationBuilding prototypes
Certifications:Databricks certificationCloud and data certifications
Languages:JapaneseEnglish
Tech Stack:DatabricksAWSAzureGCPPythonSQLApache SparkScalaJavaRMLflowDelta LakeLakehouse architecturesUnity CatalogLakehouse

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