Senior Microsoft Data Architect — Power BI & Fabric Lead

Camco Manufacturing

Greensboro (NC)

Sur place

USD 120 000 - 150 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

401k with company match
Health insurance
Paid time off
Paid holidays

Résumé du poste

Camco Manufacturing seeks a Microsoft Data Architect to lead the design and delivery of an enterprise data foundation. You will blend data architecture with reporting, processes, data engineering, and strategic planning while partnering across the business.

The role requires hands-on Fabric experience, expertise with D365 data, and collaboration with ERP teams to ensure data delivery aligns with system changes and adoption.

Qualifications

  • 7+ years in data engineering, enterprise data integration, or related roles.
  • Hands-on Microsoft Fabric experience, including data pipelines and lakehouse/warehouse solutions.
  • Experience integrating Dynamics 365 Finance and Operations data with other systems.
  • Strong SQL and Python or PySpark skills for ETL/ELT and data modeling.

Responsabilités

  • Build and support reliable pipelines connecting D365 Finance and Operations, legacy systems, and other business apps.
  • Develop ingestion and transformation workflows using SQL, Python/PySpark, Fabric Data Factory, and notebooks.
  • Create enterprise data models and trusted datasets across products, customers, suppliers, inventory, orders, and finance.

Connaissances

Data engineering
Data integration
SQL
Python
Azure
ETL/ELT
D365 integration

Formation

Bachelor’s degree in Computer Science or related field

Outils

Microsoft Fabric
Power BI
Azure
D365 integration

Description du poste

Camco Manufacturing seeks a Microsoft Data Architect to lead the design and delivery of an enterprise data foundation. You will blend data architecture with reporting, processes, data engineering, and strategic planning while partnering across the business.

The role requires hands-on Fabric experience, expertise with D365 data, and collaboration with ERP teams to ensure data delivery aligns with system changes and adoption.

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