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Azure Data Architect – R01570205

Bangalore, Karnataka, India · Employee · Compensation not disclosed by employer

Category
AI & Data Engineering
Skills
See official employer job description
Experience
Mid
Openings
3
Apply by
October 14, 2026
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

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Azure Data Architect - R01570205.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.

Candidate Skill Fit Analysis

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Required competencies and technical background for this position:

See official employer job description

Estimated In-Hand Salary

New Tax Regime (AY 2026–27)

Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.

₹1,200,000
Monthly In-Hand ₹--
Annual Take-Home ₹--
Standard Deduction: ₹75,000 / yr
Employee PF (EPF): ₹-- / mo
Estimated Income Tax: ₹-- / mo

Compensation Market Benchmark

Competitive Band

Estimated industry distribution for AI & Data Engineering roles in Bangalore, Karnataka, India:

25th Pct (Entry): ₹7.5L Median (Market Avg): ₹15L 75th Pct (Top Tier): ₹22L+
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