Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Задачи
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
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 Japan
In 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
Требования
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
Будет плюсом
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
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Location: Tokyo, Japan
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
Грейдне указан
Формат работыне указан
ГеографияТокио, Япониявычитано из текста вакансии
Зарплата≈ 10 143 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки502 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-08-05
D
Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%