Weekday, Inc.

Azure Data Architect

Posted Yesterday

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3 Locations

In-Office

Senior level

Artificial Intelligence • HR Tech • Professional Services • Software

The Role

Lead end-to-end migrations from Azure Synapse Analytics to Microsoft Fabric, including strategy, execution, validation, cutover, tuning, and optimization. Build and optimize ETL pipelines with Azure Data Factory and Databricks, and design modern data platforms using SQL Server, ADLS Gen2, Cosmos DB, and Blob Storage. Ensure governance, lineage, observability, security, and compliance through Purview and Azure Monitoring. Document architecture and processes while collaborating with cross-functional teams.

Summary Generated by Built In

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

Skills Required

7 to 10 years of professional experience, including substantial hands-on experience delivering Azure Synapse Analytics to Microsoft Fabric migration projects
Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects
Advanced proficiency in SQL Server and T-SQL
Expertise in Azure Data Factory for ETL pipeline development
In-depth knowledge of Azure Data Lake Storage Gen2
Experience with Cosmos DB for data modeling and integration
Strong Python skills for data engineering tasks
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
Working knowledge of Azure Monitoring and Data Explorer
Experience with advanced data orchestration in Microsoft Fabric
Knowledge of cloud-native data platform architectures
Expertise implementing stored procedures for complex data transformation
Familiarity with large-scale data environment management
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
Microsoft Certified: Azure Solutions Architect Expert or equivalent certification
Microsoft Certified: Azure Data Engineer Associate or similar certification

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The Company

Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.