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Azure Data Architect - R01570205

📅 Aug 21
📍 🇮🇳 Bengaluru - Hybrid🎸 Senior🏗️ Architect💼 Full-Time
Azure Synapse AnalyticsMicrosoft FabricAzure Data FactorySQL Server
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📜 Description

  • Lead Azure Synapse Analytics to Microsoft Fabric migrations from planning through cutover and post-migration optimization.
  • Develop migration strategies and validate data and platform performance throughout the transition.
  • Build and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies.
  • Design and maintain data warehousing solutions using SQL Server, ADLS Gen2, CosmosDB, and Blob storage.
  • Monitor, troubleshoot, and tune data integration and analytics solutions.
  • Collaborate with cross-functional teams on data integrity, security, compliance, governance, and architecture documentation.

🛠️ Requirements

  • 10 to 18 years of experience, including hands-on Azure Synapse Analytics to Microsoft Fabric migration projects.
  • Advanced SQL Server and T-SQL; experience with stored procedures and data modeling.
  • Expertise in Azure Data Factory and knowledge of ADLS Gen2, CosmosDB, Databricks, and Stream Analytics.
  • Strong Python skills and experience with Event Hub, Logic App, Microsoft Purview, Azure Monitoring, and Data Explorer.
  • Preferred: Microsoft Fabric orchestration, cloud-native data platform architecture, and large-scale data environment management.
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
  • Preferred certifications: Microsoft Certified Azure Solutions Architect Expert and/or Azure Data Engineer Associate, or equivalent.
Full job description
Azure Data Architect
Experience- 10 to 18 yrs
Notice - Immediate preferred
Skills- Azure Suite, Fabric,

Primary Skills

  • SQL Server, Stream Analytics, CosmosDB, ETL Fundamentals, Purview, SQL, Event Hub, SQL (Basic + Advanced), Python, Data Warehousing, ADLS G2, AZure Monitoring, Synapse, Data Factory, Logic App, Modern Data Platform Fundamentals, Databricks, Data Explorer, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Blob

    • Specialization

  • Azure Data Architecture: Data Architect

    • Job requirements

  • Experience Range:
  • 10 to 18 years of experience, including substantial hands-on expertise delivering Azure Synapse Analytics to Microsoft Fabric migration projects, with direct involvement in migration planning, execution, validation, performance tuning, cutover, and post-migration optimization.
  • Key Responsibilities:
  • 1. Lead the end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, ensuring seamless transition and minimal business disruption.
  • 2. Develop comprehensive migration strategies encompassing planning, execution, validation, cutover, and post-migration optimization.
  • 3. Implement and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies to support migration and ongoing operations.
  • 4. Design, model, and maintain modern data warehousing solutions leveraging SQL Server, Azure Data Lake Storage Gen2, CosmosDB, and Blob storage.
  • 5. Monitor, troubleshoot, and tune the performance of data integration and analytics solutions throughout the migration lifecycle.
  • 6. Collaborate with cross-functional teams to ensure data integrity, security, and compliance across all stages of the migration.
  • 7. Utilize Azure Monitoring and Purview to ensure robust governance, lineage, and observability of data assets during and after migration.
  • 8. Document architecture, processes, and best practices to support knowledge transfer and operational excellence post-migration.
  • Required Skills:
  • 1. Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects
  • 2. Advanced proficiency in SQL Server and T-SQL
  • 3. Expertise in Azure Data Factory for ETL pipeline development
  • 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2)
  • 5. Experience with CosmosDB for data modeling and integration
  • 6. Strong skills in Python for data engineering tasks
  • 7. Proficiency in Databricks and Stream Analytics
  • 8. Experience with Event Hub and Logic App for event-driven data architectures
  • 9. Expertise in Microsoft Purview for data governance
  • 10. Working knowledge of Azure Monitoring and Data Explorer
  • Preferred Skills:
  • 1. Experience with advanced data orchestration in Microsoft Fabric
  • 2. Knowledge of cloud-native data platform architectures
  • 3. Expertise in implementing stored procedures for complex data transformation 4. Familiarity with large-scale data environment management
  • Desired Qualifications:
  • 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
  • 2. Microsoft Certified: Azure Solutions Architect Expert or equivalent certification
  • 3. Microsoft Certified: Azure Data Engineer Associate or similar certification
    • Apply Now

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