Azure Data Architect – R01570205
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Mid
- Openings
- 1
- Apply by
- November 27, 2026
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Check my fit & prepare →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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Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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