Data Architect: Microsoft Fabric & Azure (Hybrid)

PJ Dick-Trumbull-Lindy Paving

Pittsburgh (Allegheny County)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

PJ Dick-Trumbull-The Lindy Group is seeking a Senior Data Engineer to design, build, and optimize the enterprise data platform powering analytics, reporting, and AI across the organization. The role focuses on Microsoft Fabric, Azure, and modern data architectures in a hybrid Pittsburgh setting.

You will lead end-to-end data pipelines, develop semantic models with BI teams, and ensure data governance, quality, and security.

Qualifications

  • Minimum 7 years of professional data engineering experience in enterprise-scale environments.
  • Hands-on Fabric experience in production environments.
  • Experience designing and supporting large-scale data platforms and analytics ecosystems.
  • End-to-end data engineering solutions from requirements through deployment.

Responsibilities

  • Design, build, and maintain enterprise data solutions using Microsoft Fabric.
  • Develop scalable architectures supporting reporting, analytics, ML, and AI initiatives.
  • Collaborate with BI developers/analysts to build semantic models and reporting.
  • Establish data governance, metadata management, and data quality across lifecycles.
  • Mentor teammates and promote best practices across the organization.

Skills

SQL development
Python
Analytical thinking

Education

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field

Tools

Fabric Data Factory
Fabric Lakehouses
Fabric Warehouses
Semantic Models
OneLake
Spark Notebooks
Data Pipelines
Real-Time Analytics

Job description

PJ Dick-Trumbull-The Lindy Group is seeking a Senior Data Engineer to design, build, and optimize the enterprise data platform powering analytics, reporting, and AI across the organization. The role focuses on Microsoft Fabric, Azure, and modern data architectures in a hybrid Pittsburgh setting.

You will lead end-to-end data pipelines, develop semantic models with BI teams, and ensure data governance, quality, and security.

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