# 【Alexion Japan】Snowflake Data Platform at AstraZeneca

AstraZeneca is hiring a 【Alexion Japan】Snowflake Data Platform in Tokyo, Japan. Level rates it Little AI ●○○○; you can [apply on AstraZeneca](https://jobsbylevel.com/go/3ca9c4a3-75fa-45a0-b3d3-22b48566dbc1?utm_medium=ai-agent).

AI Level 1, AI centrality 25 out of 100. Japan - Tokyo.

## Details

- Company: [AstraZeneca](https://jobsbylevel.com/companies/astrazeneca)
- AI level: AI Level 1 (score 25 out of 100)
- Location: Japan - Tokyo
- Posted: November 5, 2026
- Apply: https://jobsbylevel.com/go/3ca9c4a3-75fa-45a0-b3d3-22b48566dbc1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=alexion-japan-snowflake-data-platform-at-astrazeneca-620b52

## Prepare for this job

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## Description

Role Overview The Principal Data Architect – APJ Snowflake Data Platform will provide technical architecture leadership for the design, evolution, and governance of the APJ enterprise data platform. This role will define the target architecture and technical standards for a scalable, secure, and governed data ecosystem centered on Snowflake , supporting enterprise data engineering, business intelligence, advanced analytics, and AI use cases across APJ. The Principal Data Architect will work closely with Data Engineers, BI and Analytics teams, business stakeholders, and global technology teams to translate business and data requirements into sustainable enterprise architecture. This is not only an advisory architecture role. The successful candidate is expected to have deep hands-on Snowflake expertise and be able to review technical designs, challenge engineering decisions, troubleshoot complex issues, and provide practical architectural guidance. Key Responsibilities 1. Snowflake Platform Architecture Define and evolve the target architecture for the APJ Snowflake data platform. Design scalable architecture patterns for enterprise data ingestion, transformation, storage, consumption, and analytics. Establish architectural principles for database, schema, warehouse, and data-layer design. Define architecture supporting BI, Advanced Analytics, Data Science, and AI workloads. Ensure architecture decisions balance scalability, performance, security, maintainability, and cost. 2. Enterprise Data Architecture Define common architectural patterns for integrating major enterprise data domains. Establish data-layer and data-modeling principles across source, transformation, and consumption layers. Define reusable architectural patterns that can be adopted across APJ markets. Guide the design of trusted and reusable enterprise data products. Ensure local market requirements can be accommodated without unnecessary architectural fragmentation. 3. Snowflake Security & Access Architecture Define Snowflake security and access-control architecture. Establish principles for role-based access control and appropriate separation of responsibilities. Partner with Security and Identity teams on enterprise access requirements. Provide architecture guidance for secure handling of sensitive commercial and customer data. Snowflake role design and security-related approvals are already among the architecture topics documented internally. 4. Data Integration & Transformation Architecture Define architectural standards for data ingestion and transformation using Fivetran and dbt . Establish patterns for source-to-Snowflake integration. Define scalable approaches for ELT and transformation architecture. Guide engineering teams on reusable dbt models and data-layer design. Review pipeline and transformation designs for architectural consistency. 5. Architecture Governance & Design Authority Serve as a technical design authority for major APJ data platform initiatives. Lead architecture and solution design reviews. Review technical proposals and identify architecture risks, dependencies, and technical debt. Define and maintain architecture standards, principles, and reusable patterns. Ensure new data solutions align with the APJ target architecture. Partner with engineering teams to move from architecture design to practical implementation. 6. Platform Resilience & Operational Architecture Define architectural principles for platform resilience, data protection, and recoverability. Partner with relevant technology teams on business continuity and disaster recovery requirements. Identify architectural risks and recommend improvements to platform resilience. Disaster Recovery for Snowflake has also been an active internal architecture topic. 7. AI-Ready Data Architecture Define a data architecture capable of supporting AI/ML and Generative AI workloads. Establish architectural patterns for governed consumption of enterprise data by AI applications. Work with

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Source: https://jobsbylevel.com/jobs/alexion-japan-snowflake-data-platform-at-astrazeneca-620b52

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