Data Architect

Key Responsibilities: Data Architecture: Design end-to-end data architecture leveraging Microsoft Fabric's capabilities. Design data flows within the Microsoft Fabric environment. Implement OneLake storage strategies. Configure Synapse Analytics workspaces. Establish Power BI integration patterns. Integration Design: Architect data integration patterns between IES Gateway and the analytics platform using Azure Databricks and Microsoft Fabric. Design Delta Lake architecture for IES Gateway data. Implement medallion architecture (Bronze/Silver/Gold layers Create real-time data ingestion patterns. Establish data quality frameworks. Lakehouse Architecture: Implement modern data lakehouse architecture using Delta Lake, ensuring data reliability and performance. Data Governance: Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance. Implement row-level security. Configure Microsoft Purview policies. Establish data masking for sensitive information. Design audit logging mechanisms. Pipeline Development: Design scalable data pipelines using Azure Databricks for ETL/ELT processes and real-time data integration. Performance Optimization: Implement performance tuning strategies for large-scale data processing and analytics workloads. Optimize Spark configurations. Implement partitioning strategies. Design caching mechanisms. Establish monitoring frameworks. Security Framework:Design and implement security patterns aligned with federal and state requirements for sensitive data handling.