Implement and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies to support migration and ongoing…
Experience
10–18 years
Education
Bachelor's degree
Must-have skills
Data EngineeringData GovernanceData ModelingData WarehousingDatabricksETL
Work mode
Hybrid
How well do your skills match this job?
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Location: Bangalore, Karnataka, India; Pune, Maharashtra, India; Gurgaon, Haryana, India; Chennai, Tamil Nadu, India Department: AI & Data Engineering
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.
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
Key skills
Required
Data EngineeringData GovernanceData ModelingData WarehousingDatabricksETLMicrosoft AzureMicrosoft SQL ServerPythonSQLMonitoring
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
Azure Data Architect
Gurgaon, Pune, Bangalore, Chennai
1
Full time
Hybrid
10–18 years
₹11L – ₹24L a year (estimate, typical for IT Jobs in India, 907 posts)
