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Job description
Azure Data Architect India Job Description Azure Data Architect Hyderabad, Telangana Job Summary The Azure Data Solutions Architect leads the design and implementation of enterprise-scale data solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. This role provides architectural leadership, ensuring solutions are robust, scalable, and aligned with business strategy and industry best practices. The architect drives innovation, enforces governance, and mentors teams to deliver high-quality, future-ready data platforms that support organizational transformation. Key Responsibilities
Provide Architectural Leadership By Designing End-To-End Data Integration And Analytics Solutions Using Azure Data Factory, Azure Databricks, And Azure Synapse Analytics, Ensuring Alignment With Business Objectives And Compliance With Architectural Standards. 2. Define And Enforce Governance, Security, And Compliance Frameworks For Azure Data Solutions, Leveraging Azure Devops For Automated Deployment, Monitoring, And Quality Assurance. 3. Collaborate With Business Stakeholders To Gather Requirements And Translate Them Into Scalable Azure Data Architectures, Optimizing Data Pipelines And Workflows For Performance And Reliability. 4. Review And Validate Architecture And Design Deliverables, Ensuring Adherence To Best Practices In Azure Data Engineering And Continuous Improvement Of Solution Quality. 5. Drive Knowledge Upgradation By Evaluating Emerging Azure Technologies, Establishing Standards, And Mentoring Teams On Advanced Data Engineering Practices And Platform Capabilities. 6. Lead The Development And Implementation Of Reusable Data Assets, Frameworks, And Accelerators To Streamline Delivery And Ensure Consistency Across Projects.
Skill Requirements
Architectural Leadership In Azure Data Factory (Adf), Azure Databricks, And Azure Synapse Analytics, With Expert Ability To Design And Govern Complex Data Solutions. 2. Advanced Proficiency In Azure Devops For Ci/Cd Automation, InfrastructureAsCode, And Deployment Of Data Pipelines. 3. Excellent Understanding Of Data Modeling, Etl/Elt Processes, Data Governance, And Security Within The Azure Ecosystem. 4. Strong Expertise In Designing Scalable, HighPerformance Data Architectures For Analytics And Reporting. 5. Solid Knowledge Of Industry Best Practices For Cloud Data Platforms, Including Compliance, Monitoring, And Optimization.
Other Requirements
Microsoft Certified: Azure Solutions Architect Expert (Recommended) 2. Microsoft Certified: Azure Data Engineer Associate (Optional But Valuable
This guide is for freshers in India preparing for cloud and support roles, and for developers, administrators and cloud engineers with 1 to 10 years of experience facing Microsoft Azure interviews. It has 60 questions with answers in three levels: core concepts such as regions, resource groups, Microsoft Entra ID, VMs, storage and networking; day-to-day work with Bicep, App Service, Functions, AKS, Azure SQL, KQL and Azure Policy; and senior design questions on high availability, security and cost. Read each answer, then explain it aloud in your own words and take the mock test. The questions are written by CoreHRx for practice. CoreHRx is not affiliated with or endorsed by Microsoft, and these are not actual Azure certification exam questions. Azure changes often, so check the official documentation for current details.
Questions you may be asked
What is the difference between IaaS, PaaS and SaaS, with an Azure example of each?
What are Azure regions, availability zones and region pairs?
Explain the Azure resource hierarchy from management groups down to resources.
