Description

• Define the target-state architecture for Microsoft Fabric, including capacity planning, workspace and domain structure, OneLake organization, and environment strategy (development, test, production).
• Establish architectural standards, reference patterns, and reusable components that allow teams to build consistently and scale responsibly.
• Design the integration approach between Fabric and source systems, including JD Edwards, Azure SQL, operational systems, and third-party data sources.
• Guide decisions on data modeling, medallion architecture (bronze, silver, gold), semantic models, and Power BI delivery.
• Design the platform to serve as a reliable foundation for AI workloads, including structured data provisioning for Azure OpenAI grounding, vector-ready data preparation, and output storage for inference results.

 Implementation Leadership

• Lead the end-to-end implementation of Microsoft Fabric, from initial tenant setup through production rollout and ongoing expansion.
• Build and deliver priority use cases hands-on when needed, including data pipelines, lakehouses, warehouses, notebooks, and Power BI semantic models.
• Partner with internal developers, analysts, and external implementation partners to ensure work is executed to standard and on schedule.
• Structure the roadmap so early deliverables create visible business value while laying the foundation for longer-term capabilities.

Required Experience

• Seven or more years of experience in data platform, data engineering, or analytics architecture roles, with at least three years in a lead or architect capacity.
• Deep, hands-on experience with the Microsoft data stack, including Power BI, Azure Data Factory, Azure SQL, Azure Data Lake Storage, and Microsoft Fabric or Azure Synapse Analytics.
• Proven experience leading the implementation of an enterprise data platform from the ground up or through a significant expansion.
• Strong skills in SQL, data modeling, and either Python or PySpark for data engineering work.
• Working knowledge of Microsoft Entra ID, role-based access control, and enterprise security practices.
• Experience designing or integrating AI/ML workflows within a data platform, including feature engineering, model input preparation, or inference output storage as part of an analytical pipeline

Key Skills

Education

Bachelor's degree