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Data Architect

13 - 15 years

20 - 25 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Full Time

Job Description

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KeyResponsibilities:
Design and architect end-to-end data solutions usingMicrosoft Fabric, Azure Data Factory, Azure Synapse Analytics, and other Azuredata services
Develop comprehensive data architecture blueprints,including logical and physical data models
Create data integration patterns and establish bestpractices for data ingestion, transformation, and consumption
Design data lake and lakehousearchitectures optimized for performance, cost, and governance
Lead implementation of Microsoft Fabric solutions includingData Factory, Data Activator, Power BI, and Real-Time Analytics
Design and implement medallion architecture (Bronze,Silver, Gold layers) within Fabric
Optimize OneLake storage and data organization strategies
Configure and manage Fabricworkspaces, capacity, and security models
Architect complex ETL/ELT pipelines using Azure DataFactory and Fabric Data Factory
Design real-time and batch data processing solutions
Implement data quality frameworks andmonitoring solutions

RequiredQualifications:
Overall, 13-15 years of experience; 5+ years ofexperience in data architecture and analytics solutions
Hands-on experience with MicrosoftFabric, Expert-level proficiency in Azure data services(Azure Data Factory, Synapse Analytics, Azure SQL Database, Cosmos DB)
Strong experience with Power BI development andadministration
Proficiency in SQL, Python, and/or Scala for dataprocessing
Experience with Delta Lake and Apache Spark
Proficiency in data cataloging tools and techniques
Experience in data governance using Purview or UnityCatalog like tools
Expertise in Azure DataBricks in conjunction with AzureData Factory and Synapse
Implementation and optimization using Medallionarchitecture
Experience with EventHub and IoT data (streaming)
Strong understanding of Azure cloud architecture andservices
Knowledge of Git, Azure DevOps, andCI/CD pipelines for data solutions
Understanding of containerization andorchestration technologies
Hands-on experience with Fabric Data Factory pipelines
Experience with Fabric Data Activator for real-timemonitoring
Knowledge of Fabric Real-Time Analytics (KQL databases)
Understanding of Fabric capacity management andoptimization
Experience with OneLake and Fabric

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