Role & Responsibilities Overview: • Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake. • Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information. • Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards. • Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations. • Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads. • Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments. • Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules. • Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control. • Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws. • Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI. • Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails. • Evaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies. • Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions. • Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects. • Lead design reviews and enforce architectural consistency across data initiatives and engineering teams. • Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance. • Establish strong data security models, including RBAC, encryption, data masking, and secure access patterns. • Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience. Candidate Profile: • 7+ years of experience in data architecture, data engineering, or analytics platform design. • Strong hands on experience with Microsoft Fabric and related Azure services. • Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing). • Expertise in data modeling (dimensional, canonical, semantic models). • Strong knowledge of data governance, metadata management, and data quality practices. • Proficiency with SQL, Python, and modern data engineering frameworks. • Excellent communication and stakeholder management skills. • Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse. • Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse). • Certifications such as Azure Data Engineer • Prior experience in P&C or Life insurance data modernization programs. • Able to work from client location at Madison, Wisconsin