Azure Data Architect

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Role Description  

• Own end-to-end design of modern data platforms on Microsoft Azure. 
• Provide architectural leadership with hands-on engineering skills, guide data engineering team to build a secure, scalable data platform; consisting of data lake, data lakehouse or data warehouse.
• Deliver raw data into analytics-ready assets. 
• Liaison between business and technology stakeholders (Cloud Infrastructure, App Development, Security and Compliance) to define data strategy, standards and governance while optimising cost, performance and compliance across the Azure ecosystem.

Responsibilities  

• Design and document data architectures (data lake, warehouse, lakehouse, MDM, streaming) on Azure Synapse Analytics, Data Lake Storage Gen2, Microsoft Fabric,CosmosDB.  
• Lead migration of on-prem workloads to Azure with appropriate IaaS, PaaS or SaaS solutions and right-sizing for cost and performance.  
• Guide development of data pipelines using Azure Data Factory, Synapse Pipelines, dbt, ensuring orchestration, monitoring and CI/CD via Azure DevOps.  
• Model conceptual, logical and physical data structures; enforce naming standards, data lineage and master-data management practices.  
• Implement robust security (RBAC, managed identities, Key Vault), data privacy and regulatory controls such as GDPR or HIPAA.  
• Define data governance policies, metadata management and catalogue strategies using Microsoft Purview or equivalent tools.  
• Provide technical leadership to data engineers, analysts and BI developers; lead code/design review meetings and mentor on Azure best practices.  
• Collaborate with enterprise architects, product owners and business SMEs to translate analytical use cases into scalable cloud data design and feature roadmap.  
• Establish patterns to monitor platform health, automate cost optimisation and capacity planning via Azure features.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.