Fabric Data Architect

Role: Fabric Data Architect

Location: Atlanta, GA (Onsite)

Role Overview:

We are looking for an experienced Microsoft Fabric Data Architect to partner closely with the Director of Business Intelligence in modernizing the enterprise data platform. This role will play a critical part in transitioning existing data ecosystems—including Data Lake, Spark-based processing, and Power BI solutions—into a unified Microsoft Fabric environment.

The ideal candidate will bring strong architectural expertise along with the ability to collaborate with senior stakeholders, enabling scalable data solutions that support advanced analytics, machine learning, and AI-driven initiatives.

Key Responsibilities:

• Lead and define the end-to-end migration strategy to Microsoft Fabric, ensuring a smooth transition from legacy data platforms
• Architect and implement Lakehouse-based data solutions, leveraging modern data architecture principles
• Design, review, and optimize data pipelines built on PySpark and Spark SQL
• Develop and validate Power BI semantic models, ensuring high performance and data consistency
• Enable advanced analytics by integrating machine learning and AI capabilities, including embedded ML within BI solutions
• Support implementation and integration of Azure Machine Learning and MLOps frameworks
• Establish and enforce data architecture standards, governance policies, and scalability best practices
• Collaborate with BI teams and business leaders to communicate architectural decisions, trade-offs, and long-term strategy

Required Skills & Experience:

• Strong hands-on experience with Microsoft Fabric
• Deep understanding of Data Lake and Lakehouse architectures
• Expertise in Apache Spark (PySpark and Spark SQL) for data processing and pipeline development
• Proficiency in Power BI, including semantic modeling and performance optimization
• Experience with Azure Machine Learning for building and deploying ML models
• Knowledge of MLOps practices within Azure environments

Preferred Qualifications:

• Experience working on large-scale data platform transformations or migrations
• Strong communication skills with the ability to engage and influence senior leadership
• Familiarity with BI, AI, and advanced analytics ecosystems