Jobs → Data & Analytics → MS Fabric Data Architect

MS Fabric Data Architect

Surya ArumugamUnited StatesMIDPosted 10d ago
Data ArchitectureData ModelingData DiscoveryData Domain ModelingSource-to-Target MappingData IntegrationData EngineeringETL/ELT ArchitectureData PipelineData Flow DesignAPI IntegrationEvent-Driven IntegrationData QualityData LineageMetadata ManagementMicrosoft FabricAzure Data PlatformOneLakeLakehouseData FactoryWarehouseFabric ArchitectureFabric Data EngineeringFabric Performance OptimizationFabric SecurityFabric GovernanceAzure Data FactoryDatabaseAnalyticsSQL DevelopmentSQL Performance TuningData WarehouseLakehouse ArchitecturesPower BI IntegrationAnalytics
About the Role We are seeking a MS Fabric Data Architect to join our team. This role involves supporting current and upcoming projects, POCs, and backfilling existing projects that are impacted. Key Responsibilities • Assist with enterprise data architecture projects • Support POCs, pilots, and projects • Backfill existing projects • Implement and troubleshoot Fabric solutions • Design data pipelines and data flows • Perform SQL query and tuning Requirements • Expertise in Data Architecture and Data Modeling • Experience with Conceptual, Logical, and Physical Data Modeling • Knowledge of Data Discovery and Data Domain Modeling • Proficiency in Source-to-Target Mapping • Strong background in Data Integration and Engineering • Experience with ETL/ELT Architecture • Understanding of Data Pipeline and Data Flow Design • Skills in API and Event-Driven Integration • Familiarity with Data Quality, Data Lineage, and Metadata Management • Experience with Microsoft Fabric and Azure Data Platform • Knowledge of Microsoft Fabric components (OneLake, Lakehouse, Data Factory, Warehouse) • Understanding of Fabric Architecture, Data Engineering, Implementation, and Troubleshooting • Skills in Fabric Performance Optimization, Security, and Governance • Experience with Azure Data Factory • Strong Database and Analytics skills • Advanced SQL Development and Performance Tuning • Knowledge of Data Warehouse and Lakehouse Architectures • Experience with Power BI Integration and Analytics

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