Senior Microsoft Fabric Architect

We are looking for a Senior Microsoft Fabric Architect with 15+ years of experience in data architecture, Azure, ETL, and data warehousing. The ideal candidate will design scalable enterprise data solutions using Microsoft Fabric and Azure while providing technical leadership and working closely with business and technology stakeholders.

Key Responsibilities

• Define the overall data architecture and technical roadmap using Microsoft Fabric and Azure.
• Design scalable and secure data platforms, data warehouses, and data lakes.
• Develop architecture for ETL, ELT, and enterprise data pipelines.
• Work with Microsoft Fabric components such as OneLake, Lakehouse, Data Warehouse, Data Factory, and pipelines.
• Design data integration solutions using Azure services.
• Establish standards for data modelling, data governance, security, and performance.
• Review existing data architecture and recommend improvements.
• Guide Data Engineers and development teams on best practices.
• Collaborate with business, product, and technical stakeholders to understand requirements.
• Prepare architecture documents, technical designs, and implementation guidelines.
• Ensure solutions are scalable, reliable, secure, and cost-effective.

Required Skills

• 15+ years of experience in data engineering, data architecture, or related roles.
• Strong hands-on experience with Microsoft Fabric.
• Strong knowledge of Microsoft Azure data services.
• Experience in enterprise data architecture and solution design.
• Strong experience with ETL/ELT processes and data pipelines.
• Excellent knowledge of data warehousing, data modelling, and database concepts.
• Experience designing data lakes, lakehouses, and cloud-based data platforms.
• Knowledge of data governance, security, performance tuning, and cost optimization.
• Strong leadership, stakeholder-management, and communication skills.

Preferred Skills

• Microsoft Fabric or Azure certifications.
• Experience with Power BI and enterprise analytics solutions.
• Knowledge of Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Databricks.
• Experience in large-scale cloud migration and modernization projects.
• Experience working in Agile and enterprise environments.

Education

Bachelors or master’s degree in Computer Science, Information Technology, Engineering, or a related field.