Req ID: FEQ427R117
Location: Tokyo, Japan
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Financial Services, we help leading banks, insurers, securities firms, payment providers, and asset managers turn data into a strategic asset – improving customer experience, strengthening risk management, and driving profitable growth.
You will be the senior technical leader for a set of strategic FSI accounts in Japan, using your executive‑level technical credibility and Financial Services expertise to shape and execute their data and AI strategy.
Reporting to: Manager, Field Engineering – Financial Services, Japan
The impact you will have- Own technical strategy for key FSI customers in Japan, defining the target architecture and roadmap for their Databricks lakehouse and AI platform.
- Lead high‑impact evaluations and designs for priority FSI use cases (e.g., fraud/AML, risk, regulatory reporting, SIEM, Hyper Personalization, trading and investment analytics).
- Connect architecture to outcomes, showing how Databricks reduces risk, improves efficiency, and unlocks new revenue, then using those wins to drive broader expansion.
- Shape the ecosystem, working closely with cloud providers, global/local SIs, and fintech partners to deliver end‑to‑end solutions on Databricks.
- Raise the bar regionally, mentoring other Solutions Architects and contributing reusable reference architectures, patterns, and customer stories for Japan FSI.
- 10+ years in data platforms, analytics, or cloud architecture, including 6+ years working with large Financial Services institutions in Japan.
- Proven ability to influence C‑level and director‑level stakeholders (CIO, CDO, CRO, heads of data/AI) and lead high‑stakes technical discussions in Japanese.
- Deep hands‑on background in at least one area: Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture, with a strong architecture / platform focus.
- Experience designing data and analytics solutions for FSI use cases (e.g., risk, fraud/AML, regulatory reporting, SIEM, customer analytics, or trading/investment).
- Strong understanding of Japan FSI landscape, including typical organization structures, how decisions are made, and the role of SIs and cloud providers.
- Outstanding communication and storytelling skills, able to explain complex architectures to both technical teams and senior business stakeholders.
- Language: Native‑level Japanese and business‑level English.
If you’re excited about helping Japan’s Financial Services use data and AI to deliver better outcomes – while setting the technical bar for our GTM in Japan – we’d love to hear from you.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
Skills Required
- 10+ years in data platforms, analytics, or cloud architecture
- 6+ years working with large Financial Services institutions in Japan
- Proven ability to influence C‑level and director‑level stakeholders and lead technical discussions in Japanese
- Deep hands‑on background in Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture
- Experience designing data and analytics solutions for FSI use cases (risk, fraud/AML, regulatory reporting, SIEM, customer analytics, trading)
- Strong understanding of Japan Financial Services landscape and ecosystem
- Outstanding communication and storytelling skills for technical and business audiences
- Native‑level Japanese and business‑level English
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
