Azure Data Architect

Role Overview:

Senior Data Architect

Microsoft Azure and Microsoft Fabric

Key Responsibilities:

• Define and implement Azure-based data architecture strategy covering data lakes, warehouses, and lakehouses.
• Lead Microsoft Fabric implementation including OneLake, data mesh, governance, and Power BI integration.
• Design data pipelines and modernization roadmaps using Azure Synapse, Data Factory, Databricks, and Purview.
• Architect AI/ML and MLOps frameworks leveraging Azure Machine Learning and Cognitive Services.
• Oversee enterprise BI solutions with Power BI for scalable analytics and governance.
• Ensure data security, governance, and quality compliance with Azure and Purview standards.
• Lead and mentor teams in data engineering, analytics, and AI practices.
  

Required Qualifications:

• 10+ years in data architecture/engineering; 5+ years with Azure.
• Bachelors/Masters in Computer Science, Data Science, or related field.
• Certifications:
• DP-203 (Azure Data Engineer)
• AI-102 (Azure AI Engineer)
• DP-600 (Fabric Analytics Engineer)
• AWS Data Analytics Specialty
  
• Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services.
• Strong in data modeling, data governance, and multi-cloud architecture.
  
  
  

Preferred:

• Certifications: DP-100, DP-300, PL-300.
• Experience in Microsoft Fabric adoption, multi-cloud architecture (Azure + AWS), Power BI governance, and Azure AI services.
• Knowledge of data mesh, DataOps, MLOps, and Generative AI use cases.
  

Soft Skills:

• Strong leadership, communication, and stakeholder management.
• Strategic thinker with hands-on technical depth.
• Passion for continuous learning and emerging Azure technologies.