We are seeking a highly experienced Tech Lead / Senior Architect – Data Engineering to drive the end-to-end design and implementation of enterprise-grade data platforms for a major global engagement within the pharmaceutical and life sciences sector.

In this role, you will be instrumental in architecting scalable, highly secure, and compliant data solutions that empower advanced analytics, clinical trial insights, and enterprise-wide business intelligence to support data-driven healthcare innovations.

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

16 openings across locations