Fabric - Sr Data Engineer

EXL is a company focused on application development in cloud environments, and they are seeking a Senior Data Engineer to architect and implement end-to-end data solutions using Microsoft Fabric components. The role involves designing scalable data models, optimizing data pipelines, and ensuring compliance with regulatory requirements for insurance data.

Responsibilities:

• 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

Requirements:

• 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