Job Description

Architect and implement scalable

Azure Databricks solutions

, including

Data Lakehouse, Delta Lake, Structured Streaming, Unity Catalog, and Medallion Architecture.

Design and manage advanced

ETL/ELT pipelines utilizing PySpark, Databricks Workflows, Data Factory, and Azure Storage services.

Lead ML engineering and MLOps implementation, leveraging MLflow for experiment tracking, model registry, versioning, deployment, and monitoring.

Establish and enforce enterprise-grade data governance, security, lineage, and compliance using

Unity Catalog, Azure AD, and cloud-native controls

. Optimize Databricks clusters for performance, scalability, reliability, and cost-effectiveness in production environments

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.