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Azure Data Architect

Weekday AI Open · verified Oct 24, 2026
On-site Bengaluru GurugramPune Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Weekday AI. Bengaluru · full-time.

Pay not stated Data Architect salary

RoleData Architecture & Governance
SeniorityMid-level
LocationBengaluru
WorkplaceOn-site
EmploymentFull-time
PostedAug 24, 2026 · 2mo ago
Also hiring inGurugram, Pune
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead Synapse-to-Fabric migrations from planning through cutover, checking results and tuning workloads afterward
  • Build and improve migration pipelines with Azure Data Factory, Databricks and related ETL tools
  • Shape data warehouse solutions across SQL Server, Azure Data Lake Storage Gen2, CosmosDB and Blob storage
  • Track and resolve performance issues in data integration and analytics systems throughout migration
  • Use Purview and Azure Monitoring to oversee governance, lineage and visibility of data assets

What you bring

  • At least seven years of experience, including hands-on Synapse Analytics to Microsoft Fabric migration work
  • Strong SQL Server and T-SQL skills, plus practical Azure Data Factory pipeline development experience
  • Deep knowledge of Azure Data Lake Storage Gen2 and experience modeling or integrating data with CosmosDB
  • Python data engineering skills and proficiency with Databricks and Stream Analytics

Who this fits

This role suits a hands-on data architect who has delivered Azure Synapse-to-Fabric migrations across planning, execution, validation and optimization. The role is based in Bengaluru or Pune, or Gurugram.

From the employer

This role is for one of Weekday’s clients


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

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.