Data Architect, Microsoft Fabric
Job Description:
• Develop and maintain scalable, secure, and efficient data architectures using Microsoft Fabric and Azure services, optimised for large data volumes and real-time analytics
• Design and manage Azure cloud infrastructure, ensuring optimal performance, security, and cost-efficiency across Fabric workloads
• Implement data integration solutions using Microsoft Fabric Data Factory, Synapse Pipelines, Logic Apps, and other Azure-native tools
• Oversee the design, implementation, and maintenance of databases using Azure SQL, Lakehouse architecture in OneLake, and Synapse SQL Pools
• Establish and enforce data governance policies using Microsoft Purview and Fabric’s built-in governance features
• Monitor and optimise Fabric-based data systems for performance, scalability, and reliability
• Ensure data solutions comply with enterprise security standards and regulatory requirements
• Collaborate with development teams to build end-to-end data solutions, integrating Power BI dashboards, Fabric Notebooks, and backend services (.NET, C#, JavaScript)
• Provide technical guidance and mentorship to Application Architects, Technical Leads, and Developers
• Collaborate with distributed teams (onshore/offshore) and business stakeholders across 6–7 countries to design a consistent, unified platform
Requirements:
• 5+ years of experience in data architecture and cloud data platforms
• Proven experience migrating large-scale workloads from Databricks (Delta Lake) to Microsoft Fabric
• Strong grasp of data modeling, ETL/ELT design, and data warehousing using Fabric components
• Hands-on expertise with Purview, OneLake, Synapse Pipelines, and Fabric governance/security
• Collaborative mindset — able to work closely with cross-functional teams (engineers, analysts, and stakeholders)
• Ability to prototype, test, and demonstrate Fabric solutions (not just blueprint design)
• Background in Azure DevOps, CI/CD pipelines, or related tooling is preferred
• Bachelor’s or Master’s in Computer Science, Information Technology, or related field
Benefits:
• Equal employment opportunities to all employees and applicants
• Prohibits discrimination and harassment of any type
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