Solution Architect with Azure & Microsoft Fabric local in New Jersey

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

microsoft fabric
one lake
dataflows
pipelines
notebooks
power bi
adf

Job Details

  • Data Architecture & Strategy:

Define enterprise-wide data architecture principles using Microsoft Fabric components (Data Lake, OneLake, Lakehouse, Warehouse, Real-Time Analytics). Align architecture with unified access, integration, and governance goals.

  • Microsoft Fabric Expertise

Hands-on understanding of Microsoft Fabric capabilities including Dataflows, Pipelines, Lakehouse, Warehouse, Notebooks, and integration with Power BI, Synapse, and Azure Data Factory.

  • Data Integration & App Connectivity

Design data flows and connectors across operational systems and business applications. Enable seamless integration between transactional apps, analytics layers, and data science environments.

  • Proof-of-Concept Development

Build quick, functional POCs using Fabric components to validate architecture decisions, performance, and usability before full-scale implementation.

  • Unified Data Layer Design

Architect a centralized but flexible data layer for consistent access and governance. Consider OneLake as the single data foundation across business units.

  • Data Governance & Security

Define data ownership, metadata management, lineage tracking, and access control using Microsoft Purview and built-in Fabric security models.

  • Scalability & Performance

Ensure architecture is designed for large-scale, real-time analytics and app integrations. Plan for concurrent data access, transformation, and reporting across systems.

  • AI & Data Mining Enablement

Incorporate AI-driven analytics using Power BI AI visuals, notebooks (Python), and integration with Azure Machine Learning for predictive insights.

  • Stakeholder & Business Alignment

Engage with enterprise data owners, analytics leaders, and app teams to ensure the solution meets business needs, is future-ready, and simplifies the data landscape.

  • Delivery & Documentation

Define architecture documentation, evaluation criteria, reference models, and rollout roadmap for implementation and adoption.

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