Bangalore, Karnataka, India
Live, first seen by us 74 days agoWork setup in the employer’s posting: hybridFrom the employer’s posting
Lead end-to-end migration of Azure Synapse Analytics to Microsoft Fabric
Develop migration strategies covering planning, validation, cutover and optimization
Build and optimize data pipelines using Azure Data Factory and Databricks
Design and maintain data warehouses on SQL Server, ADLS Gen2, CosmosDB and Blob storage
Use Azure Monitoring and Purview for governance, lineage and observability
Lead the end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric
Develop comprehensive migration strategies encompassing planning, execution, validation, cutover, and post-migration optimization.
Implement and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies
Design, model, and maintain modern data warehousing solutions leveraging SQL Server, Azure Data Lake Storage Gen2, CosmosDB, and Blob storage.
Utilize Azure Monitoring and Purview to ensure robust governance, lineage, and observability of data assets
1. Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects
3. Expertise in Azure Data Factory for ETL pipeline development
5. Experience with CosmosDB for data modeling and integration
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
1. Experience with advanced data orchestration in Microsoft Fabric
1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
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
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Day 74
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From 8,259 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
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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
- 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
- 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.
- 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
Azure Data Architect Experience- 10 to 18 yrs
Notice - Immediate preferred Skills- Azure Suite, Fabric, Primary Skills
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.
- 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.
- 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
- 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)
- 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
- 9. Expertise in Microsoft Purview for data governance - 10. Working knowledge of Azure Monitoring and Data Explorer -
- 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
- 2. Microsoft Certified: Azure Solutions Architect Expert or equivalent certification - 3. Microsoft Certified: Azure Data Engineer Associate or similar certification Employment type
- 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
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
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Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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Bangalore, Karnataka, India
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