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SnowflakeLeadershipWarehouse operationsdbtMachine learning
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About the role
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.
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