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Job Summary: We are seeking an experienced Azure Data Architect to lead the design and implementation of scalable, secure, and modern data platforms on Microsoft Azure. The ideal candidate should have deep technical expertise across data architecture, cloud data services, and end-to-end data lifecycle management. Roles & Responsibilities: Architect and design end-to-end Azure-based data solutions across ingestion, storage, processing, and consumption layers Define and implement data modeling, data lakehouse architecture, and data integration strategies Leverage Azure services like Data Factory, Synapse, Data Lake, Databricks, Azure SQL, Cosmos DB for building enterprise-grade solutions Collaborate with business and technical teams to gather requirements and define data strategy Ensure best practices in performance optimization, security, cost control, and governance Lead migration of on-prem data systems to Azure-based modern data platforms Guide development teams, conduct architecture reviews, and ensure high-quality delivery Technical Skills: Programming Languages: SQL – Advanced querying, performance tuning, data transformation Python – Data pipelines, scripting, orchestration PySpark / Spark SQL – Especially for Azure Databricks (Optional: Scala or .NET/C#) Databases / Storage: Azure SQL Database / Managed Instance Azure Data Lake Gen2 Azure Synapse Analytics Cosmos DB, SQL Server (on-prem) (Nice to have: PostgreSQL, MySQL, MongoDB) Azure Data Services: Azure Data Factory, Azure Databricks, Synapse, Data Lake, Event Hubs Power BI integration (nice to have) Knowledge of Azure Purview, governance, and security controls Additional Skills: Experience with data architecture patterns (e.g., Lakehouse, Data Mesh) Understanding of DevOps/CI-CD, version control, and automation tools Strong communication, stakeholder management, and leadership skills (Preferred: Microsoft Azure Certifications – Data Engineer/Architect) Show more Show less
