Senior Data Architect | AI & Cloud Data Platforms for Large-Scale Financial Transformation

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 Japans 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