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About the Role
Design, create, and manage the company's data architecture, developing data strategies and implementing data solutions to ensure the integrity and security of data assets for Digital Products delivered to Business. Converts business and analytics requirements into Snowflake models, patterns, and pipelines for consistent data ingestion, transformation, quality, and governance.
Responsibilities
- Design scalable, cost-efficient Snowflake-based data architectures
- Define standardized patterns for ingestion, transformation, modeling, and consumption
- Develop solution blueprints, including data flows, lineage, and integrations
- Establish and govern data contracts (schema, SLAs, validation, evolution)
- Lead conceptual, logical, and physical modeling using tools like SqlDBM and dbt
- Build modular, reusable dbt models with strong testing and CI/CD practices
- Integrate data quality, observability, and metadata-driven validation
- Design orchestrated pipelines using Airflow, Jenkins, or similar tools
- Ensure compliance with governance, security, and access-control standards
- Partner across data, platform, and governance teams; mentor engineers and analysts
Requirements
- 7+ years of relevant experience in data engineering, analytics engineering, or similar roles
- Enterprise data architecture experience with Snowflake or similar platforms
- Strong hands-on ELT/ETL and dbt skills (models, tests, macros, CI/CD)
- Deep understanding of Data Vault and dimensional modeling
- Experience in designing and governing data contracts
- Advanced SQL and ELT expertise
- Experience in developing and operating semantic layers supporting analytics, reporting, conversational AI, and self-service data consumption
- Familiarity with orchestration tools, Git workflows, and governance platforms
- Strong stakeholder management, analytical thinking, and structured problem-solving skills
- Excellent communication skills in English and Japanese, enabling clear interaction with technical and non-technical stakeholders
- Data Vault 2.0 experience
- Familiarity with Iceberg, external tables, and data catalogs
- Knowledge of analytics layers (Power BI, Tableau, semantic models)
- Exposure to cloud-native and platform engineering practices
Skills
- Snowflake
- dbt
- ELT
- Data Contracts
- SqlDBM
- CI/CD
- Airflow
- Jenkins
- SQL
- Data Vault
- Dimensional Modeling
- Git
- Power BI
- Tableau
Experience Level
- 7+ years of relevant experience
Education Level
- Degree in Computer Science, Engineering, Data/Information Systems, or a related field
About the Company
- Our IT EDP Data & Analytics team is seeking a talented and experienced Data Architect to join our team.
- Pharmaceutical commercial data experience is a plus.