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Job description
Azure Senior Data Architect India Job Description Azure Senior Data Architect | Hyderabad, TelanganaBengaluru, Karnataka Job Summary The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities
Architect End-To-End Data Integration And Transformation Solutions Using Azure Data Factory, Ensuring Scalability, Reliability, And Adherence To Enterprise Standards. 2. Design And Oversee Advanced Analytics Platforms Leveraging Azure Databricks, Azure Synapse Analytics, And Azure Ml To Enable Data-Driven Decision-Making. 3. Define And Implement Devops Practices For Data Pipelines In Azure, Ensuring Automated Deployments, Monitoring, And Operational Excellence. 4. Lead Architectural Reviews And Enforce Governance And Compliance Measures Across Azure Data Solutions, Maintaining Alignment With Industry And Organizational Standards. 5. Collaborate With Business Stakeholders To Gather Requirements And Translate Them Into Innovative, Scalable Azure-Based Data Architectures. 6. Mentor And Develop Technical Teams On Azure Data Technologies, Ensuring Skill Advancement And Risk Mitigation In Solution Delivery. 7. Author Whitepapers, Contribute To Industry Forums, And Drive Intellectual Property Initiatives To Establish Thought Leadership In Azure Data Architecture.
Skill Requirements
Architectural Leadership In Azure Data Factory With ExpertLevel Proficiency In Designing Complex Data Integration Solutions 2. Advanced Expertise In Azure Databricks, Azure Synapse Analytics, And Azure Ml For LargeScale Analytics And Machine Learning Workloads 3. InDepth Knowledge Of Devops Practices For Azure Data Services, Including Ci/Cd, Monitoring, And Automation 4. Solid Understanding Of Data Governance, Security, And Compliance Frameworks Within Azure Environments 5. Excellent Ability To Translate Business Requirements Into Scalable Azure Data Architectures 6. Strong Mentoring And Leadership Skills To Guide Technical Teams In Azure Data Technologies
Other Requirements
Microsoft Certified: Azure Solutions Architect Expert (Recommended) 2. Microsoft Certified: Azure Data Engineer Associate (Optional But Valuable) 3. Microsoft Certified: Azure Data Scientist Associate (Optional But Valuable
This guide is for freshers in India preparing for their first data science or machine learning interview, and for analysts and engineers with a few years of experience moving into ML roles. It has 60 questions with model answers in three levels: the basics every fresher is asked, then the practical questions on metrics, validation, leakage and tuning that come up for 1-4 years of experience, and finally senior questions on model internals, deployment, drift and explaining models to business teams. The worked numbers in the answers are small enough to check by hand. Try each answer aloud before reading ours, then take the mock test to practise under time pressure.
Questions you may be asked
What is machine learning, and how is it different from traditional programming?
What is the difference between supervised and unsupervised learning?
How do you decide whether a problem is classification or regression?
Why do we split data into training, validation and test sets?
