Azure Data Architect

Description

Job Summary: Designs, builds, and manages data architectures on Azure, ensuring scalable, secure, cost-effective, and business-aligned solutions. Key Highlights: 1. Modern data architecture design on Azure 2. Technical leadership in data architecture implementation 3. Deep expertise in the Azure data ecosystem The profile of an Azure Cloud Architect specializing in Data (Azure Data Architect) is highly strategic and technical. This individual is responsible for designing, building, and managing an organization's data architecture within the Microsoft Azure ecosystem, ensuring that solutions are scalable, secure, cost-effective, and aligned with business objectives. Below are the key components of this role: 1. Core Responsibilities Data Architecture Design: Create modern data architectures (e.g., Data Mesh, Data Lakehouse, or Data Warehouse) supporting analytical and operational business needs. Technology Selection: Evaluate and select the most appropriate Azure services (IaaS, PaaS, SaaS) for data ingestion, storage, processing, and visualization. Data Governance and Security: Define access policies, encryption, data retention, and regulatory compliance (GDPR, HIPAA, etc.) using Azure security tools. Cost Optimization (FinOps): Design solutions that maximize performance while minimizing cloud expenditure. Technical Leadership: Guide data engineers, analysts, and data scientists during architecture implementation. 2. Technical Skills and Azure Ecosystem An Azure data architect must possess deep expertise in the following components: Data Storage: Azure Data Lake Storage (ADLS Gen2). Azure Blob Storage. Data Ingestion and Integration (ETL/ELT): Azure Data Factory (ADF). Azure Event Hubs / IoT Hub (for real-time data streaming). Data Processing and Analytics: Azure Databricks (Apache Spark). Azure Synapse Analytics (and the new Microsoft Fabric). Azure Stream Analytics. Databases (Relational and NoSQL): Azure SQL Database / Azure SQL Managed Instance. Azure Cosmos DB. Azure Database for PostgreSQL/MySQL. Data Governance and Security: Microsoft Purview (data catalog and governance). Microsoft Entra ID (formerly Azure Active Directory) and Azure Key Vault. Infrastructure as Code (IaC) and CI/CD: Proficiency in Azure DevOps, ARM Templates, Bicep, or Terraform to automate data infrastructure deployment. · 3. Soft Skills Effective Communication: Ability to translate complex business requirements into technical solutions—and vice versa—communicating fluently with both executive stakeholders and developers. Problem Solving: Analytical mindset to identify performance bottlenecks and propose innovative solutions. Strategic Vision: Ability to anticipate long-term enterprise data growth and design systems that scale without requiring ground-up redesign. 4. Recommended Certifications To validate this profile, employers typically seek candidates who hold (or are pursuing) the following Microsoft certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-305): Fundamental for general cloud architecture. Microsoft Certified: Azure Data Engineer Associate (DP-203): Critical for understanding how data pipelines are built on Azure. Optional but valued: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or Azure Cosmos DB certifications (DP-420). 5. Typical Experience This role generally requires Senior-level experience. Candidates are typically expected to have: 5+ years of experience in data engineering, databases, or Business Intelligence. 2–3+ years of hands-on experience specifically designing cloud-native architectures, particularly on Microsoft Azure.-Requirements- Minimum Education: Technical 3 years of experience Languages: English Keywords: architect, arquitecto, architecture, arquitectura, data