Azure Data Architect

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.
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• 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.
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• 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
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• 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
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• 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