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 SpecialtyExpertise 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.Skills Required
Azure Synapse, Data Factory, Power Bi, Databricks, Microsoft Azure, Azure Machine Learning