Solutions Architect (Pre-sales) – Manufacturing & Automotive

Location: Tokyo Japan
Req ID: FEQ327R203
Reporting to: Director Field Engineering
Language requirements: Business-professional Japanese required; business-level English preferred

As a Pre-sales Solutions Architect focused on Manufacturing and Automotive you will engage with leading global automotive manufacturers and strategic industry accounts across partnership with Account Executives Solutions Architects technology specialists partners and customer teams you will develop and execute technical strategies that help customers adopt the Databricks Data Intelligence Platform and achieve measurable business outcomes.

You will translate complex automotive and manufacturing challenges into scalable data and AI solutions across vehicle platforms connected-vehicle analytics vehicle and component quality supply-chain optimization smart manufacturing engineering and R&D analytics aftersales customer intelligence and AI-powered applications. You will operate with a builder mindset creating hands-on prototypes demonstrations and proof points that accelerate customer confidence and adoption.

• 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.

• 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.

• Experience working with leading automotive manufacturers automotive suppliers industrial companies transportation providers or mobility businesses.
• Familiarity with vehicle platforms connected vehicles vehicle telemetry smart factories industrial IoT supply-chain analytics quality and warranty analytics engineering/R&D aftersales EVs or battery analytics.
• Experience with Databricks Apache Spark MLflow Delta Lake lakehouse architectures or comparable data and AI platforms.
• Experience coaching or mentoring other technical professionals or account teams.
• Databricks or relevant cloud and data certifications.