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Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Architect and implement end-to-end data solutions using Microsoft Fabric Data Factory, Lakehouse, Warehouse, Real-Time Analytics, and OneLake
- Design scalable data models, integration patterns, and storage strategies for insurance datasets
- Create architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise engineering and cloud standards
- Develop and manage batch, real-time streaming, and API-based ingestion pipelines using Fabric Data Factory
- Build Lakehouse-centered architectures for advanced analytics, reporting, and machine learning workloads
- Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric
- Collaborate with Data Governance teams on standards, lineage, metadata, and data quality
- Implement Fabric governance and compliance capabilities, including cataloging, sensitivity labeling, and granular access control
- Support NAIC guidelines, state-level regulations, and data privacy law requirements
- Partner with cloud engineering and security teams on Azure AD, Microsoft Purview, and Power BI integrations
- Evaluate Microsoft Fabric features and roadmap items and recommend modernization strategies
- Translate business and analytics requirements into scalable data solutions
- Provide technical direction to data engineers, analysts, and BI developers
- Lead design reviews and enforce architectural consistency
- Define Fabric best practices for performance tuning, storage optimization, and cost governance
- Establish security models using RBAC, encryption, data masking, and secure access patterns
- Monitor Fabric platform health and manage risks to ensure high availability and operational resilience
Requirements
What you’ll need- 5+ 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, including policy, claims, underwriting, actuarial, and billing
- Expertise in dimensional, canonical, and semantic data modeling
- Strong knowledge of data governance, metadata management, and data quality practices
- Proficiency with SQL, Python, and modern data engineering frameworks
- Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse
- Familiarity with data mesh, data fabric, and Lakehouse architecture concepts
- Certifications such as Azure Data Engineer
- Prior experience in P&C or Life insurance data modernization programs
- Needs to work from client location in Newark, NJ
Benefits
Comp & perks- Bonus
- Benefits information available at https://www.exlservice.com/us-careers-and-benefits
- Potential compensation above the posted range for higher-cost zones, including New Jersey