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# Microsoft Fabric Data Architect

- **Company:** Innominds Software
- **Location:** New York, NY, United States
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Data Governance, Data Transformation, Meta-Data Management, Power BI, Data Streaming, Data Ingestion, Microsoft Fabric, Data Management, Azure Synapse Analytics, Stream Analytics
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/3d3c61b1-4742-4051-aabd-5428fbf36e25

## About the Role

* 12 16 years of experience in cloud and data architecture
 * Strong hands-on expertise with Microsoft Fabric (end-to-end architecture)
 * Deep understanding of modern cloud data architectures (lakehouse, data mesh, data fabric, Azure and MS Fabric)
 * Hands-on experience designing enterprise-scale data platforms
 * Strong knowledge of data governance, metadata management, and lineage
 * Expertise in cloud and data platforms (Azure and MS Fabric ecosystem)
 * Excellent stakeholder management and communication skills

## Description

A seasoned Cloud & Data Architect (specialization of Microsoft Fabric, Azure) with Cloud Data Engineering as an early background - who can define and drive enterprise level transformation in Financial Sector while owning end-to-end architecture on Microsoft Fabric., * Define and implement enterprise cloud and data transformation strategy aligned with business goals

 * Architect end-to-end solutions on Microsoft Fabric (Data Ingestion, OneLake, Data Factory, Synapse, Power BI, Real-Time Analytics)
 * Design scalable data platforms supporting batch, streaming, and real-time use cases
 * Establish data governance, security, and compliance frameworks (knowledge of Purview preferred)
 * Drive data modeling standards (Lakehouse, medallion architecture, domain-driven design)
 * Collaborate with business and technology stakeholders to translate requirements into architecture
 * Define best practices for data ingestion, transformation, and consumption
 * Evaluate and integrate emerging technologies into the data ecosystem


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