Microsoft Fabric Data Architect

Overview

Hybrid
$140,000 - $160,000
Full Time
No Travel Required

Skills

Microsoft Fabric

Job Details

Microsoft Fabric Data Architect

Salary: Up to $150K-$160K + discretionary bonus + profit sharing

Location: Livingston, New Jersey (Monday and Friday remote/Tues-Thurs on-site)

The Opportunity

We are seeking a Data Architect with hands-on expertise in Microsoft Fabric, Azure, and modern data warehousing. This individual will lead the design and implementation of enterprise-scale data platforms, guide the migration of on-premises environments into Azure/Fabric, and ensure scalable, high-performance data architecture across the organization.

Key Responsibilities:

  • Architect end-to-end data solutions leveraging Microsoft Fabric, including Data Pipelines, Lakehouses, Warehouse, and Real-Time Analytics
  • Lead large-scale on-prem to Azure and Fabric migrations, ensuring optimized performance, governance, and security
  • Design, build, and optimize enterprise data warehouses, data models, and integration frameworks
  • Collaborate with engineering, analytics, and leadership teams to define the long-term data strategy and platform roadmap
  • Establish best practices around data architecture, quality, lineage, and operational excellence.
  • Provide hands-on guidance across ETL/ELT development, data modeling, and Fabric environment setup
  • Integrate data from diverse sources (APIs, databases, streaming services) with high reliability and performance
  • Develop robust data models and warehouse structures to support enterprise-wide business intelligence needs

Required Experience:

  • Extensive background in Microsoft Fabric architecture and implementation
  • Strong expertise with Azure Data Platform (e.g., Data Factory, Synapse, ADLS, Azure SQL)
  • Proven experience leading complex data warehouse builds and modernizing legacy/on-prem systems
  • Strong understanding of ETL/ELT frameworks, data modeling, and cloud-native patterns
  • Ability to partner with C-suite/leadership teams on data strategy and platform decisions

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability, or protected veteran status.

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