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Solutions Architect (Pre-sales) – Manufacturing & Automotive

Databricks· Engineering
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Hybrid (Tokyo, Japan)full-timePosted 1mo ago

About the role

Pre-sales Solutions Architect focused on Manufacturing and Automotive in Japan, partnering with Account Executives and cross-functional teams to design and demonstrate Databricks-based data and AI solutions for automotive and manufacturing customers across Japan.

Responsibilities

  • Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects for strategic automotive and manufacturing accounts.
  • Lead complex customer engagements across the full technical pre-sales lifecycle, including discovery, requirements gathering, solution scoping, architecture design, workshops, demonstrations, proof-of-concepts, and implementation planning.
  • Coach account teams and peers on positioning, adoption strategies, use-case prioritization, and execution plans that deliver outcomes within a defined timeline.
  • Influence stakeholders at all levels, from data practitioners and engineers to manufacturing leaders and C-level executives, by connecting technical decisions to business value.
  • Act as a champion and trusted advisor for customers and colleagues on data, analytics, machine learning, generative AI, architecture, design, and Databricks adoption.
  • Design and communicate end-to-end solutions using Databricks and public cloud platforms, including AWS, Azure, and GCP.
  • Build tailored demos, prototypes, reference architectures, migration plans, how-to materials, and other customer-facing assets rather than relying only on standard presentations.
  • Help automotive and manufacturing customers identify and prioritize high-value use cases across vehicle platforms, connected vehicles, vehicle telemetry, quality and warranty, industrial IoT, smart factories, supply chain, demand forecasting, engineering and R&D, aftersales, and EV or battery analytics.
  • Integrate Databricks with cloud services, enterprise platforms, and third-party applications to support customer architectures.
  • Collaborate with Product, Engineering, Services, Customer Success, Partners, Marketing, Sales, and Field Engineering to represent customer needs and accelerate adoption.
  • Lead workshops, seminars, meetups, and other community activities to build technical awareness and scale best practices in Japan.

Qualifications

  • Experience engaging with complex customers and sales lifecycles in a technical pre-sales, consulting, technical architecture, or equivalent role.
  • A 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 learn or deepen knowledge of Apache Spark; experience with Scala, Java, or R is beneficial.
  • Strong understanding of enterprise data platforms, distributed data systems, analytics, machine learning, generative AI, or modern cloud architectures.
  • Demonstrated ability to provide technical solutions for specialized customer needs and navigate a competitive landscape.
  • Ability to influence decision-makers and C-level executives by building relationships and orchestrating cross-functional teams toward long-term customer success.
  • Builder mindset with a track record of prototyping, creating demos, and crafting tailored solutions for ambiguous or challenging customer environments.
  • Strong communication, presentation, whiteboarding, and storytelling skills, with the ability to explain complex technical concepts to diverse audiences.
  • Experience working with enterprise customers and building trusted relationships with technical and business stakeholders.
  • Strong collaboration skills and the ability to partner effectively with Account Executives, Solutions Architects, specialists, and other cross-functional teams.
  • Business-professional fluency in Japanese; business-level English proficiency is preferred.

Skills

Required:Pre-sales technical engagementCloud platform experienceProgramming

Benefits

  • Benefits information is provided by a regional document linked in the job posting. See the linked benefits section for details.
Last updated Sep 17, 2026. Interested? Apply on the company site.

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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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