Job Description
We are currently partnering with a fast-growing AI & Data consulting company in Japan that is actively expanding its AI & Data division and is now looking for a Senior Data Architect.
The company works directly with some of Japan’s leading financial institutions and enterprise groups, helping them modernize large-scale data environments, implement AI-driven solutions, and build organization-wide data strategies. Their projects cover everything from enterprise data platforms and AI governance to GenAI modernization initiatives and large-scale cloud transformation programs.
This position offers the opportunity to work on enterprise-grade data architecture projects involving large-scale financial data environments, AI enablement platforms, cloud-native data infrastructure, and next-generation analytics ecosystems.
The role is highly strategic and hands-on, involving architecture design, technical leadership, stakeholder management, and collaboration with AI/Data Science teams across multiple projects.
Key Responsibilities:
• Lead architecture design and technical strategy for enterprise data and AI platforms
• Design modern DWH / Data Lake architectures on AWS, Azure, or GCP
• Drive data governance, ETL design, and enterprise-scale data modeling initiatives
• Work closely with clients to analyze current environments and define future-state architecture
• Support implementation teams with technical guidance around Snowflake, Databricks, cloud platforms, and modern data ecosystems
• Collaborate with AI and Data Science teams on AI-ready infrastructure and governance design
• Promote architecture standardization and knowledge sharing across projects
• Support AI modernization initiatives involving GenAI and large-scale enterprise transformation
Examples of projects include:
• Enterprise-wide data platform strategy for major financial groups
• AI enablement and data governance initiatives
• Cloud-based analytics platform modernization
• AI-driven operational transformation projects
• Enterprise AI/LLM integration and modernization programs
Environment & Culture:
• Flat and highly collaborative engineering culture
• Strong focus on modern AI technologies and cloud-native architecture
• Direct communication with leadership and high level of ownership
• Active investment in learning, certifications, conferences, and technical growth
• AI-first culture with active adoption of generative AI tools internally
• Flexible hybrid work environment and strong long-term stability
Requirements:
• Experience designing enterprise data platforms such as DWH, Data Lake, or governance environments
• Experience leading technical projects and managing teams
• Strong knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with modern data technologies such as Snowflake, Databricks, or similar
• Business-level Japanese
• Eligibility to work in Japan
Preferred:
• AI governance / AI security knowledge
• Experience with machine learning or AI-related systems
• Experience building LLM/RAG-based applications
• English communication skills
• Consulting or enterprise client-facing experience
Compensation & Benefits:
• Annual salary: ¥10M – ¥22M JPY
• Location: Nihonbashi, Chuo-ku, Tokyo
• Hybrid work style available (office + remote work combination)
• Full flex-time system (no core time)
• Standard working hours: 8 hours/day
Holidays & Time Off:
• Full two-day weekend system
• 123 annual holidays annually
• Paid leave granted after probation period
• Refresh leave / New Year holidays / parental leave / condolence leave
Benefits:
• Defined contribution pension plan
• Learning & self-development support
• Internal/external networking support budget
• Sports & wellness allowance
• Full annual health check support
• Full influenza vaccination support including dependents
• Full transportation reimbursement
• Relocation support (eligible employees)
• Childcare/babysitter support
• Business trip & training allowances
• Marriage / childbirth / condolence support system
Insurance:
• Health insurance
• Employee pension
• Employment insurance
• Workers’ compensation insurance
Additional Information:
• Non-smoking office environment
• Flexible internal role mobility and career growth opportunities
This is an excellent opportunity for someone who wants to work at the intersection of enterprise AI, large-scale data architecture, and real business transformation within Japan’s financial industry
Requirements
Requirements: • Experience designing enterprise data platforms such as DWH, Data Lake, or governance environments • Experience leading technical projects and managing teams • Strong knowledge of cloud platforms (AWS, Azure, or GCP) • Experience with modern data technologies such as Snowflake, Databricks, or similar • Business-level Japanese • Eligibility to work in Japan Preferred: • AI governance / AI security knowledge • Experience with machine learning or AI-related systems • Experience building LLM/RAG-based applications • English communication skills • Consulting or enterprise client-facing experience
Senior Data Architect | AI & Cloud Data Platforms for Large-Scale Financial Transformation • Nihombashikayabacho, 13, jp
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