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.