Must have skills: Data Engineering/Architect with Snowflake, AWS, dbt, Python and SQL, Data Mesh. Key Responsibilities: Lead the end-to-end architecture, design, and implementation of scalable data platforms using Snowflake. Define and enforce data architecture standards, including modeling, naming conventions, and best practices. Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools. Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions. Drive data governance, lineage, cataloging, and quality frameworks across the platform. Ensure compliance with European data regulations (e.g., GDPR) and pharma-specific standards. Implement CI/CD pipelines and DataOps practices for automated testing, deployment, and monitoring of data workflows. Optimize Snowflake performance, including query tuning, clustering, and cost management. Provide technical leadership, architectural guidance, and mentorsh...