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Responsibilities:\nDesign and architect enterprise-scale Databricks Lakehouse solutions aligned with business, analytics, AI, and data modernization objectives.\nDefine scalable and secure data platform architectures leveraging Delta Lake, Unity Catalog, Medallion Architecture, and Databricks Workflows.\nArchitect cloud-native data solutions on Azure and AWS, integrating services such as ADLS, Azure Event Hubs, Azure Data Factory, Amazon S3, MSK/Kafka, IAM, and cloud-native security frameworks.\nDesign batch and real-time data processing solutions using Auto Loader, Delta Live Tables (DLT), Structured Streaming, Kafka, and Event Hubs.\nEstablish enterprise data governance, security, lineage, privacy, and compliance frameworks utilizing Unity Catalog, fine-grained access controls, and audit capabilities.\nLead the architecture and implementation of GenAI, Agentic AI, RAG, Mosaic AI, Vector Search, MLflow, and Databricks Genie solutions.\nDefine MLOps, AI governance, and model lifecycle 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