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AI Summary
Lead the end-to-end architecture, design, and implementation of scalable data platforms using Snowflake. Collaborate with global stakeholders to translate business and clinical requirements into robust ETL/ELT pipelines.
This is a remote position.
Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.
We are looking for experienced team players to fill the position of Tech Lead - Data Engineering and participate in our up-and-coming project for our client from the pharma area.
You can expect to:
- 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.
Requirements
- 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
Benefits
Professional training programs
Work with a team that is recognized for its excellence. We have been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We have also received the Great Place To Work® certification for seven years in a row
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