Das ist der Job
Must have skills: Data Engineering/Architect with Snowflake, AWS, dbt, Python and SQL, Data Mesh.
Darum lohnt es sich
Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions. Provide technical leadership, architectural guidance, and mentorship to engineering teams.
Work closely with DevOps and infrastructure teams to Seeking a highly experienced Tech Lead / Senior Architect – Data Engineering to drive the design and implementation of enterprise-grade data platforms for a global engagement.
This role will focus on building scalable, secure, and compliant data solutions to support advanced analytics, clinical insights, and business intelligence. Tasks 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. 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.
Evaluate emerging tools and technologies to continuously improve the data ecosystem.
