Fabric Data Platform Architect

Camden Property Trust; Houston (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Camden Property Trust in Houston, Texas is seeking a Microsoft Fabric Engineer responsible for designing, building, and operating the company’s modern data platform. The role covers the end-to-end data engineering lifecycle, ensuring close partnerships with various teams to empower efficient reporting, operational use cases, and effective AI data products.

The ideal candidate will have over 5 years of experience in data engineering with a strong expertise in Microsoft Fabric, SQL, and Python, and will be instrumental in establishing the Fabric environment and maintaining data governance standards.

Qualifications

• 5+ years of data engineering experience, including 1+ year with Microsoft Fabric.
• Proven experience designing dimensional models for analytics.
• Strong understanding of Power BI and enterprise reporting patterns.

Responsibilities

• Design and implement Fabric workspaces and architecture.
• Build and operate data pipelines using Fabric Data Factory.
• Establish governance for Fabric architecture and data quality.

Skills

Strong SQL

Python (PySpark)

Data engineering

Data modeling

Power BI

CI/CD practices

Git-based development

API integration

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Fabric

Azure DevOps

SQL Server

Job description

Camden Property Trust in Houston, Texas is seeking a Microsoft Fabric Engineer responsible for designing, building, and operating the company’s modern data platform. The role covers the end-to-end data engineering lifecycle, ensuring close partnerships with various teams to empower efficient reporting, operational use cases, and effective AI data products.

The ideal candidate will have over 5 years of experience in data engineering with a strong expertise in Microsoft Fabric, SQL, and Python, and will be instrumental in establishing the Fabric environment and maintaining data governance standards.