2600
- Define the end-to-end data architecture for Employee Digital TwinDesign canonical data models for employee profiles, skills, performance, learning, engagement, and workforce analyticsEstablish master data management (MDM) strategy for workforce dataDefine real-time and batch integration patterns.
- Architect integrations across HRIS (Workday, SAP SuccessFactors, Oracle HCM), learning systems, payroll, CRM, and collaboration platformsDesign APIs and event-driven architecture for data exchangeDefine data lake / lakehouse / warehouse architectureEnable structured + unstructured data ingestion (documents, resumes, feedback, chat logs)Build AI-ready data pipelines for skills inference, career pathing,
workforce forecastingSupport feature engineering frameworks for ML modelsEnable knowledge graph / employee graph modeling for Digital TwinEnsure scalable data pipelines for GenAI use casesDefine enterprise data governance frameworkImplement data quality, lineage, cataloging, and metadata managementEnsure compliance with GDPR, HIPAA (if applicable), and other data privacy regulationsImplement role-based access control (RBAC) and data maskingOptimize data architecture for scalability and low latencyDefine performance SLAsDesign for high availability and disaster recovery
📌 Digital Twin Lead (Hyderabad)
🏢 Rabi Solutions
📍 Hyderabad
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