Azure Cloud Architect

Job description

**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.