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Full-time
Comprehensive benefits and perks
Posted 7d ago
~40 hrs/week
Responsibilities
You will lead technical pre-sales engagements for automotive and manufacturing accounts by designing scalable data and AI solutions. This involves collaborating with account teams to execute strategies, build prototypes, and influence stakeholders to drive platform adoption.
Requirements
Candidates must have a strong technical background in data engineering, AI, or machine learning with experience on public cloud platforms. Proficiency in Python or SQL is required, along with the ability to communicate complex technical concepts to both technical and business stakeholders.
Full job description
Location: Tokyo, Japan Req ID: FEQ327R203 Reporting to: Director, Field Engineering Language requirements: Business-professional Japanese required; business-level English preferred
Mission
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.
The impact you will have
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.
What we look for
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.
Preferred experience
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.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Related keywords
Solutions ArchitectManufacturingAutomotiveDatabricksData Intelligence PlatformPythonSQLApache SparkAWSAzureGCPMachine LearningArtificial IntelligenceGenerative AIData EngineeringData Warehousing
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
How many Manufacturing jobs are open in Tokyo, Japan right now?
There are currently 271 open manufacturing positions in Tokyo, Japan listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Manufacturing roles in Tokyo, Japan?
Companies currently hiring include Thermo Fisher Scientific, Applied Materials, MAHLE, Accenture, Infineon Technologies, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Manufacturing jobs in Tokyo, Japan?
Yes — 99 of the 271 open manufacturing positions offer remote or hybrid work (13 remote, 86 hybrid).
How do I apply for Manufacturing jobs in Tokyo, Japan?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.