Note: The job is a remote job and is open to candidates in USA. EXL is a company focused on data analytics and engineering solutions, and they are seeking a Fabric Analytics Engineer. The role involves architecting and implementing end-to-end data solutions using Microsoft Fabric components and ensuring compliance with data governance standards.
Responsibilities
- 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
Skills
- 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 (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)
- Needs to work from client location in Newark, NJ
- Certifications such as Azure Data Engineer
- Prior experience in P&C or Life insurance data modernization programs
Company Overview