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About the Role

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. You will translate complex automotive and manufacturing challenges into scalable data and AI solutions and operate with a builder mindset, creating hands-on prototypes, demonstrations, and proof points that accelerate customer confidence and adoption.

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.

Requirements

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

Python
SQL
Apache Spark™
Scala
Java
R
Data Engineering
Data Warehousing
Machine Learning
Artificial Intelligence
Public Cloud Platforms (AWS, Azure, GCP)
Enterprise Data Platforms
Distributed Data Systems
Analytics
Generative AI
Modern Cloud Architectures
Communication
Presentation
Whiteboarding
Storytelling
Databricks
MLflow
Delta Lake
Lakehouse Architectures

Location

Tokyo, Japan

Work Type

Full-time

Experience Level

Professional

Education Level

Bachelor's Degree

Benefits

Comprehensive benefits and perks that meet the needs of all of our employees.

About the Company

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.

Equal Opportunity

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.