Fabric Analytics Engineer

EXL • United States,

1d • $104,000

About The Position

We are seeking a skilled Fabric Analytics Engineer to architect and implement end-to-end data solutions utilizing Microsoft Fabric components. This role involves designing scalable data models, integration patterns, and storage strategies specifically for insurance datasets, including policy, claims, billing, actuarial, and customer information. The engineer will create architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise engineering and cloud standards. Responsibilities include developing and managing ingestion pipelines using Fabric Data Factory for various integration types, building Lakehouse-centered architectures for advanced analytics and machine learning, and optimizing data pipelines for performance, reliability, and cost efficiency within Azure and Fabric environments.

Requirements

• Proficiency in Microsoft Fabric components (Data Factory, Lakehouse, Warehouse, Real-Time Analytics, OneLake).
• Experience in designing scalable data models, integration patterns, and storage strategies.
• Knowledge of insurance datasets (policy, claims, billing, actuarial, customer information).
• Experience in creating architectural blueprints, reference architectures, and reusable frameworks.
• Experience with enterprise engineering and cloud standards.
• Experience developing and managing ingestion pipelines using Fabric Data Factory (batch, real-time streaming, API-based).
• Experience building Lakehouse-centered architectures.
• Experience optimizing data pipelines for performance, reliability, and cost efficiency.
• Experience with Azure environments.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed