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D365 Technical Consultant

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Onsite

D365 Technical Consultant

VOLTO Consulting

D365 Technical Consultant

Skills

GitMicrosoft Power PlatformSupply Chain ManagementWarehouse ManagementSupply ChainAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

$100,000 – $120,000 / year

Location:

Greensboro, NC, USA

Work mode:

Onsite

Published on:

18 September 2026

What they need


Greensboro, NC - Onsite Full-time Job Description D365 ERP expertise: Strong hands-on knowledge of Dynamics 365 Finance and Supply Chain Management, including architecture, security, workflows, batch processing, reporting, and environment management.

Functional process knowledge: Sound understanding of procure-to-pay, order-to-cash, inventory and warehouse management, manufacturing, product information management, master planning, costing, and core finance processes.

AX 2012 experience: Working knowledge of AX 2012 R2/R3 architecture, AOT, MorphX, X++, overlayering, batch framework, services/AIF, and analysis and remediation of legacy customizations.

Integration capability: Ability to design, develop, and troubleshoot synchronous and asynchronous integrations using data entities, OData, REST/SOAP services, custom services, recurring/batch data APIs, business events, Azure Logic Apps, Service Bus, and Power Platform/Dataverse dual-write.

ISV solution integration: Experience integrating and supporting third-party/ISV products, assessing models and package dependencies, mapping data and business processes, managing version compatibility, and coordinating fixes and upgrades with vendors.

Data migration and upgrades: Expertise in Data Management Framework, data entities, configuration and data packages, validation and reconciliation, performance tuning, and AX 2012-to-D365 code/data upgrade activities using Lifecycle Services.

ALM, quality, and support: Proficiency with Azure DevOps, source control, branching, build and release pipelines, deployable packages, automated testing, debugging, monitoring, code reviews, performance optimization, and production incident/root-cause analysis.

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