Fabric Analytics Engineer
About The Position
The Fabric Analytics Engineer architects and implements end-to-end data solutions using Microsoft Fabric components, including Data Factory, Lakehouse, Warehouse, Real-Time Analytics, and OneLake. The role designs scalable data models, integration patterns, and storage strategies for insurance datasets, and creates architectural blueprints and reusable frameworks aligned with enterprise engineering and cloud standards. The position develops and manages batch, real-time streaming, and API-based ingestion pipelines; builds Lakehouse-centered architectures for analytics, reporting, and machine learning; and optimizes pipeline performance, reliability, and cost across Azure and Fabric environments. It also supports data governance, regulatory compliance, security, platform operations, and architectural consistency, while providing technical guidance to data engineers, analysts, and BI developers. The role is hybrid in Newark, New Jersey, and requires work from the client location there.
Requirements
- At least 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.
- Excellent communication and stakeholder management skills.
- Must work from the client location in Newark, New Jersey.
Nice To Haves
- Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
- Familiarity with modern data architecture concepts such as data mesh, data fabric, and Lakehouse.
- Certifications such as Azure Data Engineer.
- Prior experience in P&C or Life insurance data modernization programs.
Responsibilities
- Architect and implement end-to-end data solutions using Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Real-Time Analytics, and OneLake.
- Design scalable data models, integration patterns, and storage strategies for insurance datasets such as policy, claims, billing, actuarial, and customer information.
- Create architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise engineering and cloud standards.
- Develop and manage ingestion pipelines supporting batch, real-time streaming, and API-based data integrations.
- Build Lakehouse-centered architectures for advanced analytics, reporting, and machine learning workloads.
- Optimize pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.
- Collaborate with Data Governance teams on enterprise data standards, lineage tracking, metadata management, and data quality rules.
- Implement Fabric governance and compliance capabilities, including cataloging, sensitivity labeling, and granular access control.
- Support insurance regulatory requirements, including 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 Microsoft Fabric features, capabilities, and roadmap items, and recommend adoption and modernization strategies.
- Translate business and analytics requirements into robust, scalable data solutions in collaboration with stakeholders.
- Provide technical direction and architectural guidance to data engineers, analysts, and BI developers.
- 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 data security models, including RBAC, encryption, data masking, and secure access patterns.
- Monitor Fabric platform health and proactively manage risks to ensure high availability and operational resilience.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
