Lead Solutions Architect, Financial Services

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.

What we look for

• 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, wi