We are actively seeking an experienced Microsoft Fabric Architect to lead the design and implementation of modern data and analytics solutions. The ideal candidate will have strong expertise in Microsoft Fabric, Azure Data Platform, Data Engineering, and Enterprise Analytics Architecture.
Position Details
Job Title: Microsoft Fabric Architect
Location: Charlotte, North Carolina
Required Experience
✅ 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Architecture
✅ 1-2+ years of hands-on experience delivering Microsoft Fabric solutions in production environments
✅ Strong experience with Azure Synapse Analytics and Power BI Premium with recent Microsoft Fabric implementations
✅ Proven experience designing enterprise-scale modern data platforms
Technical Skills
✅ Microsoft Fabric
✅ Azure Synapse Analytics
✅ T-SQL
✅ PySpark / Python
✅ Dimensional Data Modeling
✅ Delta Lake & Parquet
✅ Incremental Data Loading
✅ Change Data Capture (CDC)
✅ Power BI
✅ DAX
✅ Semantic Model Design
✅ Azure Data Lake Storage Gen2 (ADLS Gen2)
✅ Microsoft Entra ID
✅ Azure Key Vault
✅ Azure DevOps
Key Responsibilities
- Design and implement scalable data and analytics solutions using Microsoft Fabric.
- Architect data lakehouse and warehouse solutions for enterprise environments.
- Build and optimize data pipelines using PySpark, T-SQL, and Fabric technologies.
- Implement Delta Lake, Parquet, CDC, and incremental load strategies.
- Design and manage Power BI semantic models and reporting solutions.
- Collaborate with business stakeholders, architects, and engineering teams to define technical roadmaps.
- Establish best practices for data governance, security, performance, and DevOps.
- Lead technical discussions with both executive leadership and engineering teams.
- Mentor development teams and provide architectural guidance throughout project delivery.
Preferred Qualifications
- Experience migrating legacy data platforms to Microsoft Fabric.
- Microsoft Azure or Microsoft Fabric certifications.
- Strong understanding of enterprise data governance and analytics frameworks.
- Experience leading large-scale cloud data transformation initiatives.
