Senior Data Architect

GAIDOOR RECRUIT • Greater Tokyo Area
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AI Summary

We are seeking a Senior Data Architect to lead architecture design and technical strategy for enterprise data and AI platforms. The role involves designing modern DWH / Data Lake architectures and driving data governance initiatives. Business-level Japanese language skills are required.

Key Highlights
Lead architecture design and technical strategy for enterprise data and AI platforms
Design modern DWH / Data Lake architectures on AWS, Azure, or GCP
Collaborate with AI and Data Science teams on AI-ready infrastructure and governance design
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
Technical Skills Required
AWS Azure GCP Snowflake Databricks
Benefits & Perks
Annual salary: ¥10M – ¥22M JPY
Hybrid work style available
Full flex-time system
Standard working hours: 8 hours/day
Defined contribution pension plan
Learning & self-development support
Nice to Have
AI governance / AI security knowledge
Experience with machine learning or AI-related systems
English communication skills

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.


Japanese Language Business Level is a Must for this Position.

Please note that prior financial industry experience is NOT required.


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


Benefits

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


Interview Process:

• First online interview

• Final in-person interview at the Tokyo office


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


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