Azure Data Architect

This role is for one of our clients

Industry: IT Services and IT Consulting

Seniority level: Mid-Senior level

Min Experience: 7+ years

Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India

JobType: full-time

Experience Range: 7 to 10 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.

Requirements

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

Must-have skills

Microsoft Azure, Synapse, Fabric

Good-to-have skills

PySpark, SQL, ETL

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.