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# Tech Lead / Data Engineering (Mandatory: Snowflake)

- **Company:** W3Global
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, Cluster Analysis, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, DevOps, Dimensional Modeling, Distributed Data Store, Github, Performance Tuning, Scrum Methodology, Query Optimization, Power BI, DataOps, SQL Databases, Tableau (Software), Workflow Management Systems, System Availability, Snowflake, Data Strategy, Git, Data Lakes, Data Management, Data Pipelines, Jenkins
- **Published:** November 13, 2026
- **Apply:** https://www.jobleads.com/es/job/tech-lead-data-engineering-mandatory-snowflake--spain--e6c51645127ce944a5a156c1947f57b43

## About the Role

* 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).

Leadership & Soft Skills

 * Strong stakeholder management and communication skills across business and technical teams.
 * Ability to drive architecture decisions and influence enterprise data strategy.
 * Experience working in Agile/Scrum environments

## Description

* 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 mentorship to engineering teams.
 * Evaluate emerging tools and technologies to continuously improve the data ecosystem.
 * Work closely with DevOps and infrastructure teams to ensure high availability, scalability, and security.

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 mentorship to engineering teams.
 * Evaluate emerging tools and technologies to continuously improve the data ecosystem.
 * Work closely with DevOps and infrastructure teams to ensure high availability, scalability, and security.

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).

Leadership & Soft Skills

 * Strong stakeholder management and communication skills across business and technical teams.
 * Ability to drive architecture decisions and influence enterprise data strategy.
 * Experience working in Agile/Scrum environments