---
title: 'Solutions Architect (Pre-sales) – Manufacturing & Automotive at Databricks'
canonical: 'https://feeny.ai/job/solutions-architect-pre-sales-manufacturing-automotive-databricks-tokyo-4w6zm7ftc1zv'
type: 'job'
last_seen: '2026-09-12'
---

# Solutions Architect (Pre-sales) – Manufacturing & Automotive at Databricks

- **Company:** Databricks
- **Location:** Tokyo, Japan
- **Posted:** 2026-08-05
- **Last confirmed live:** 2026-09-12
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8681148002

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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