Azure Data Architect

Role Overview:
We are seeking a seasoned Senior Data Architect to lead enterprise data and analytics initiatives on Microsoft Azure and Microsoft Fabric. The role involves architecting, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation.

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.