SN Required Information Details 1 Role Azure Data Architect 2 Required Technical Skill Set Azure Services - Azure Data Factory - Azure Synapse Analytics - Azure Databricks - Azure Data Lake Storage Gen2 - Azure SQL Database - Azure Cosmos DB - Azure Event Hub - Azure Functions - Azure Logic Apps - Azure Monitor - Azure Purview / Microsoft Purview Databases - SQL Server - Azure SQL - PostgreSQL - Oracle - Snowflake (preferred) Big Data & Processing - Spark - PySpark - Delta Lake - Lakehouse Architecture - Data Warehousing Concepts Programming - Python - SQL - Scala (preferred) - PowerShell DevOps & Automation - Azure DevOps - Git - CI/CD Pipelines - Terraform / Infrastructure as Code Visualization - Power BI - Tableau (preferred) 3 Desired Experience Range** 10+ Years Desired Competencies (Technical/Behavioral Competency) Roles and Responsibilities Data Architecture & Strategy - Define enterprise-wide data architecture standards, frameworks, and best practices.

- Design scalable and secure cloud-native data platforms on Microsoft Azure.
- Create conceptual, logical, and physical data models.
- Develop data modernization and cloud migration strategies.
- Establish data governance, data quality, metadata management, and master data management frameworks.

Azure Data Platform

Design - Architect end-to-end data solutions using:

- Azure Data Factory (ADF)



- Azure Synapse Analytics - Azure Data Lake Storage Gen2 - Azure Databricks - Azure SQL Database - Azure Cosmos DB - Azure Event Hub - Azure Stream Analytics - Azure Functions - Azure Logic Apps Data Engineering & Integration - Design batch and real-time data ingestion pipelines.
- Build data lakes, lakehouses, data warehouses, and data marts.
- Implement ELT/ETL frameworks for large-scale data processing.
- Design CDC (Change Data Capture) and streaming architectures.
- Integrate data from on-premises, SaaS, and third-party systems. Analytics & AI Enablement - Enable advanced analytics, reporting, and AI/ML workloads.
- Design data models optimized for Power BI and self-service analytics.
- Support AI/ML initiatives using Azure Machine Learning and Azure OpenAI services. Security & Governance - Implement data security controls using:
- Azure IAM - Managed Identity - Key Vault - Private Endpoints - Network Security Groups - Ensure compliance with GDPR, HIPAA, SOC2, and enterprise security standards.
- Establish monitoring, auditing, and data lineage practices. Leadership & Stakeholder Management - Provide technical leadership to data engineering teams.
- Mentor architects, engineers, and developers.
- Conduct architecture reviews and design workshops.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Prepare architecture documentation and executive presentations.

📌 Azure Cloud Architect (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad