Fabric Analytics Engineer

EXL • United States,

1d

About The Position

The Fabric Analytics Engineer will be responsible for architecting and implementing end-to-end data solutions using Microsoft Fabric components. This includes designing scalable data models, integration patterns, and storage strategies for insurance datasets. The role involves creating architectural blueprints, developing ingestion pipelines, building Lakehouse-centered architectures, and optimizing data pipelines for performance and cost efficiency.

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 and reference architectures.
• Experience in developing and managing ingestion pipelines (batch, real-time streaming, API-based).
• Experience in building Lakehouse-centered architectures.
• Experience in optimizing data pipelines for performance, reliability, and cost efficiency.
• Familiarity 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