Pay: Salary not listed in the saved posting
Work setup: Hybrid — work setup source
Work setup in the employer’s listing: hybrid
From the employer’s posting
Employment: Unconfirmed

What you’ll work on

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

From the employer’s posting

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

What you’ll bring

All qualifications

Core experience

Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects
Expertise in Azure Data Factory for ETL pipeline development
Experience with CosmosDB for data modeling and integration
Proficiency in Databricks and Stream Analytics
Experience with Event Hub and Logic App for event-driven data architectures
Expertise in Microsoft Purview for data governance

Preferred experience

Experience with advanced data orchestration in Microsoft Fabric
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
Knowledge of cloud-native data platform architectures
Expertise in implementing stored procedures for complex data transformation 4.

Qualification wording

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

Education & alternatives

- 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

Tools in this posting

Python
SQL
Azure
Databricks
SQL Server

Source

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

Posting record

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Status in our records: Live
First seen by us: Aug 24, 2026 · 55d ago
Recorded sightings: 120
Last seen by us: Oct 17, 2026
Employer says posted: Aug 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

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

Employment type

Employee

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Source details

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Pay

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Location & working pattern

Bangalore, Karnataka, India

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