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:
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Define and implement Azure-based data architecture strategy covering data lakes, warehouses, and lakehouses.
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Lead Microsoft Fabric implementation including OneLake, data mesh, governance, and Power BI integration.
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Design data pipelines and modernization roadmaps using Azure Synapse, Data Factory, Databricks, and Purview.
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Architect AI/ML and MLOps frameworks leveraging Azure Machine Learning and Cognitive Services.
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Oversee enterprise BI solutions with Power BI for scalable analytics and governance.
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Ensure data security, governance, and quality compliance with Azure and Purview standards.
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Lead and mentor teams in data engineering, analytics, and AI practices.
Required Qualifications:
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10+ years in data architecture/engineering; 5+ years with Azure.
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Bachelors/Masters in Computer Science, Data Science, or related field.
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Certifications:
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DP-203 (Azure Data Engineer)
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AI-102 (Azure AI Engineer)
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DP-600 (Fabric Analytics Engineer)
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AWS Data Analytics Specialty
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Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services.
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Strong in data modeling, data governance, and multi-cloud architecture.
Preferred:
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Certifications: DP-100, DP-300, PL-300.
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Experience in Microsoft Fabric adoption, multi-cloud architecture (Azure + AWS), Power BI governance, and Azure AI services.
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Knowledge of data mesh, DataOps, MLOps, and Generative AI use cases.
Soft Skills:
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Strong leadership, communication, and stakeholder management.
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Strategic thinker with hands-on technical depth.
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Passion for continuous learning and emerging Azure technologies.