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Brillio

Azure Data Architect - R01570205

Posted One Month Ago
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Hybrid
Chennai, Tamil Nadu, IND
Expert/Leader
Hybrid
Chennai, Tamil Nadu, IND
Expert/Leader
Lead end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, including strategy, execution, validation, cutover, tuning, and optimization. Build and optimize ETL pipelines with Azure Data Factory and Databricks; design modern data warehouses using SQL Server, ADLS Gen2, Cosmos DB, and Blob Storage. Ensure data governance, lineage, security, compliance, monitoring, and integrity using Purview and Azure Monitor. Document architecture and best practices while collaborating with cross-functional teams.
The summary above was generated by AI
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

Brillio Chennai, Tamil Nadu, IND Office

Chennai, India

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