Data Architect Microsoft Fabric

Overview

Remote
$80 - $90
Contract - W2

Skills

Data architect
Data engineering
Microsoft Fabric

Job Details

Data Architect Microsoft Fabric

Location: Remote (U.S. Only)

Experience Level: Mid Senior (10+ Years)
Education: Bachelor s Degree (required)
Visa /USC
Employment Type: Contract (Remote Only)
Total Openings: 1

About the Role

We are seeking an experienced Data Architect (Microsoft Fabric) to design and implement advanced end-to-end data and analytics solutions leveraging Microsoft Fabric and its ecosystem. This role requires deep hands-on experience with data architecture, cloud data engineering, and analytics platforms, particularly across Data Factory, Synapse, Power BI, Data Lake, and Real-Time Analytics components.

The ideal candidate will be a strategic thinker who can architect scalable, secure, and high-performance data platforms to support enterprise data initiatives.

Key Responsibilities

  • Design and architect end-to-end data and analytics solutions using Microsoft Fabric.

  • Integrate and manage data pipelines leveraging Data Factory, Synapse, and Data Lake.

  • Develop data models, warehouse structures, and semantic layers for Power BI reporting.

  • Implement real-time data ingestion and analytics pipelines for live business insights.

  • Define data governance, security, and architecture standards to ensure compliance and quality.

  • Collaborate with cross-functional stakeholders data engineers, analysts, and business teams to deliver scalable solutions.

  • Optimize data solutions for performance, scalability, and cost efficiency in cloud environments.

Required Skills & Qualifications

Technical Expertise:

  • 10+ years of experience in data architecture, data engineering, or analytics solution design.

  • Proven experience with Microsoft Fabric ecosystem:

    • Data Factory (ETL/ELT pipeline orchestration)

    • Synapse Analytics (data warehousing and analytics)

    • Power BI (data visualization and semantic modeling)

    • Data Lake (data ingestion and storage architecture)

    • Real-Time Analytics (stream processing and live dashboards)

  • Strong understanding of data modeling, metadata management, and data governance.

  • Expertise in SQL, Azure Cloud, and data integration frameworks.

  • Excellent problem-solving, communication, and collaboration skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.