IT Systems Administrator

Ralliant is seeking a Microsoft 365 Power Platform Engineer to design and deliver analytics solutions with a strong focus on Microsoft Fabric, Power BI, and AI-enabled analytics strategy.

This role will play a key part in enabling AI-ready data foundations, supporting Copilot experiences, and operationalizing analytics and insights across the organization in a secure, governed, and scalable manner.

The ideal candidate combines strong BI engineering skills with an understanding of how AI capabilities (Copilot, semantic models, data quality, and governance) depend on well-designed data platforms.

You will partner with business stakeholders, security, and platform teams to ensure data products are optimized not only for reporting, but also for AI-driven insights and automation.

• Design and implement end-to-end Microsoft Fabric solutions leveraging Lakehouse/Warehouse, Data Pipelines, Dataflows Gen2, and Fabric capacities.
• Build scalable data ingestion, transformation, and modeling pipelines that support analytics, self-service BI, and downstream AI use cases.
• Implement standardized medallion-style data architectures (e.g., bronze/silver/gold) with strong data quality, lineage, and observability.
• Optimize Fabric workloads for performance, reliability, and cost efficiency, including capacity utilization and refresh strategies.
• Develop enterprise-grade Power BI semantic models designed for reuse, performance, and AI-readiness.
• Create and maintain Power BI reports and dashboards with a strong focus on usability, performance, and accessibility.
• Apply advanced DAX and Power Query (M) techniques to optimize large models and complex datasets.
• Implement and manage Power BI deployment pipelines, workspace strategies, and lifecycle management (dev/test/prod). AI Strategy Enablement
• Design AI-ready data models and semantic layers that support Microsoft Copilot, natural language querying, and generative AI experiences.
• Partner with architecture and AI teams to align Fabric and Power BI assets with the organization’s broader AI and Copilot strategy.
• Ensure datasets are curated, documented, and governed to support trusted AI outputs (certified datasets, promoted models, consistent definitions).