Azure Fabric Principal Hands-On Data Architect

Job Description

We are seeking an experienced Azure Fabric Principal Hands-On Data Architect to design, lead, and implement end-to-end enterprise data solutions using Microsoft Fabric and Azure data services. The ideal candidate should have strong hands-on experience in data architecture, engineering, analytics, Power BI, and Azure cloud technologies, with the ability to lead engagements while actively contributing to technical implementation.

Top Skills / Responsibilities

• Architect end-to-end data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, Data Science, and Real-Time Analytics workloads.
• Design and optimize Power BI dashboards, reports, and visualizations, including real-time reporting and performance tuning for large-scale datasets.
• Build enterprise-grade data warehouses using dimensional modeling, Star Schema, and Snowflake Schema.
• Design and implement scalable data lakes and layered data pipelines using Delta Lake and Spark.
• Develop data ingestion and orchestration pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Dataflows.
• Support batch, streaming, and hybrid data scenarios using KQL and Azure Event Hub.
• Perform hands-on coding, debugging, troubleshooting, deployment, and optimization in Azure environments.
• Lead Azure data engagements from requirements gathering and solution design through deployment, optimization, and knowledge transfer.
• Collaborate with developers, analysts, business stakeholders, and technical leaders to align data solutions with business objectives.
• Stay current with Azure and Microsoft Fabric innovations and recommend modern data architectures.
• Mentor junior team members and conduct code reviews.
• Promote best practices related to security, compliance, governance, and cost optimization.

Required / Preferred Qualifications

• 12+ years of experience in Data Architecture, Data Engineering, and Analytics.
• 8+ years of hands-on experience with Azure cloud data services.
• Deep expertise in Microsoft Fabric, OneLake, Shortcuts, and Unified Analytics.
• Advanced Power BI experience, including:
• DAX
• Power Query
• Real-Time Reporting
• Fabric/Synapse Integration
• Strong experience with Data Warehousing, Data Modeling, ETL/ELT, and enterprise data architecture.
• Hands-on experience designing and implementing data ingestion pipelines using Azure-native tools.
• Strong experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, Delta Lake, Spark, KQL, and Event Hub.
• Demonstrated ability to perform hands-on implementation, troubleshooting, debugging, and performance optimization.
• Experience leading greenfield projects, migrations, and modernization initiatives.
• Excellent verbal and written communication skills.
• Ability to explain complex technical concepts to non-technical stakeholders and facilitate technical workshops.