Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Define the end-to-end data architecture for Employee Digital Twin
Design canonical data models for employee profiles, skills, performance, learning, engagement, and workforce analytics
Establish master data management (MDM) strategy for workforce data
Define real-time and batch integration patterns
Architect integrations across HRIS (Workday, SAP SuccessFactors, Oracle HCM), learning systems, payroll, CRM, and collaboration platforms
Design APIs and event-driven architecture for data exchange
Define data lake / lakehouse / warehouse architecture
Enable structured + unstructured data ingestion (documents, resumes, feedback, chat logs)
Build AI-ready data pipelines for skills inference, career pathing, workforce forecasting
Support feature engineering frameworks for ML models
Enable knowledge graph / employee graph modeling for Digital Twin
Ensure scalable data pipelines for GenAI use cases
Define enterprise data governance framework
Implement data quality, lineage, cataloging, and metadata management
Ensure compliance with GDPR, HIPAA (if applicable), and other data privacy regulations
Implement role-based access control (RBAC) and data masking
Optimize data architecture for scalability and low latency
Define performance SLAs
Design for high availability and disaster recovery
10–15+ years in Data Architecture / Enterprise Data Engineering
Strong experience with cloud data platforms (AWS, Azure, or GCP)
Experience with modern data stack: Snowflake, Databricks, BigQuery, Redshift, Synapse
Expertise in ETL/ELT frameworks (Informatica, Talend, dbt, Airflow, etc.)
Experience building data lakes/lakehouses
Strong knowledge of data modeling (dimensional, data vault, graph models)
Experience with APIs, microservices, and event streaming (Kafka)
Understanding of AI/ML data pipelines and feature stores
Experience working with HR/workforce data preferred
Key job details
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 30,000 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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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