Solutions Architect (Pre-sales) – Manufacturing & Automotive
Databricks11 hours ago
Tokyo, JapanSenior
Responsibilities
- Develop customer engagement and technical adoption strategies with Account Executives, Solutions Architects, specialists, partners, and customer teams.
- Lead discovery, requirements gathering, solution scoping, architecture design, workshops, demonstrations, proof-of-concepts, and implementation planning.
- Design end-to-end Databricks solutions on AWS, Azure, and GCP for automotive and manufacturing use cases.
- Build tailored demos, prototypes, reference architectures, migration plans, how-to materials, and other customer-facing assets.
- Advise customers and internal teams on data, analytics, machine learning, generative AI, architecture, and Databricks adoption.
- Influence technical practitioners, manufacturing leaders, and C-level executives by connecting technical decisions to business value.
- Coach account teams and peers on positioning, use-case prioritization, adoption strategies, and execution plans.
- Integrate Databricks with cloud services, enterprise platforms, and third-party applications.
- Collaborate with Product, Engineering, Services, Customer Success, Partners, Marketing, Sales, and Field Engineering.
- Lead workshops, seminars, meetups, and other technical community activities in Japan.
Requirements
- Experience in technical pre-sales, consulting, technical architecture, or an equivalent customer-facing technical role.
- Technical background in data engineering, data warehousing, machine learning, artificial intelligence, or related fields.
- Experience designing and implementing solutions on AWS, Azure, or GCP.
- Hands-on experience 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.
- Strong understanding of enterprise data platforms, distributed data systems, analytics, machine learning, generative AI, or modern cloud architectures.
- Ability to develop specialized technical solutions, navigate competitive environments, influence decision-makers, and orchestrate cross-functional teams.
- Experience working with enterprise customers and building trusted relationships with technical and business stakeholders.
- Strong communication, presentation, whiteboarding, storytelling, collaboration, and customer-engagement skills.
- Business-professional fluency in Japanese; business-level English proficiency is preferred.
- Preferred experience with automotive manufacturers, suppliers, industrial companies, transportation providers, or mobility businesses.
- Preferred familiarity with vehicle platforms, connected vehicles, telemetry, smart factories, industrial IoT, supply-chain analytics, quality and warranty analytics, engineering and R&D, aftersales, EVs, or battery analytics.
- Preferred experience with Databricks, Apache Spark, MLflow, Delta Lake, lakehouse architectures, or comparable data and AI platforms.
- Experience coaching or mentoring technical professionals or account teams and relevant Databricks, cloud, or data certifications are preferred.
Benefits
- The role is located in Tokyo, Japan.
- Databricks provides comprehensive region-specific benefits and perks; specific details are available for the applicable region.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.