Tech Lead Data Engineer / Architect Role - Location Spain

Das ist der Job

Overview 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 ensure high availability, scalability, and security.

Leadership & Soft Skills Strong stakeholder management and communication skills across business and technical teams. 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. 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. Requirements Mandatory Skills Strong hands-on expertise in Snowflake (data warehousing, performance tuning, security, cost optimization). Deep understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas).

Advanced proficiency in SQL and complex query optimization. Extensive experience in ETL/ELT development, especially with DBT. Experience in data architecture and distributed data systems design. Strong exposure to CI/CD pipelines (Git, Jenkins, GitHub Actions, Azure DevOps). Experience working with cloud platforms (AWS).

Preferred Skills Experience with orchestration tools like Apache Airflow or similar. Exposure to data lake / lakehouse architectures. Experience with data visualization tools (Tableau, Power BI). Prior experience in pharmaceutical / healthcare domain (clinical, R&D, or commercial data).

Ability to drive architecture decisions and influence enterprise data strategy. Experience working in Agile/Scrum environments #J-18808-Ljbffr