10-18 years of experience in data architecture, specifically with Azure Synapse Analytics to Microsoft Fabric migrations
Hands-on expertise in SQL Server and T-SQL
Proficient in Azure Data Factory for ETL pipeline development
In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2)
Strong skills in Python for data engineering tasks
Experience with CosmosDB and data modeling
Microsoft Certified: Azure Solutions Architect Expert or equivalent certification preferred
Responsibilities
Lead the migration of Azure Synapse Analytics to Microsoft Fabric with minimal disruption
Develop comprehensive migration strategies covering all phases from planning to post-migration
Implement and optimize data pipelines using Azure Data Factory and Databricks
Design and maintain modern data warehousing solutions with SQL Server and Azure Data Lake
Monitor and tune performance of data integration solutions during migration
Collaborate with teams to ensure data integrity and compliance
Utilize Azure Monitoring and Purview for data governance and observability
Document architecture and best practices for operational excellence
Benefits
Immediate start preferred
Opportunity to work on cutting-edge Azure technologies
Engagement in high-impact migration projects
Collaboration with cross-functional teams
Focus on data governance and compliance best practices
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.
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
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