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Data Architect

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Miracle Software Systems, Inc.
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations, Information Security & Data Protection
Job Description & How to Apply Below
Requirement Details:
Position:
Data Architect

Location:

Charlotte, North Carolina (Onsite)

Start Date:

Immediate Job Overview We are looking for a strategic and hands-on Lead Data Architect to build core data foundations and establish data engineering capabilities from the ground up. This role will play a critical part in aligning business strategy with technical execution. The candidate will be responsible for evaluating AI-driven tools for data governance, designing modern data frameworks, and leading a phased Master Data Management (MDM) rollout following the transition to Microsoft Dynamics 365.

Key Responsibilities:

Data Architecture & Frameworks:
Design scalable and robust enterprise data architecture frameworks and establish data engineering best practices. MDM Implementation:
Architect and execute a phased MDM strategy across:
Item Master Data Customer Master Data Vendor Master Data ERP Consolidation:
Lead the transition and data integration lifecycle from four legacy ERP systems into the newly implemented Microsoft Dynamics 365 environment. AI & Governance

Innovation: Evaluate and implement AI-driven tools for data setup, quality, governance, and compliance.

Cross-Functional Collaboration:

Work closely with business and technical stakeholders to deliver scalable data solutions. Required

Skills & Experience:

5–10 years of strong experience in Data Architecture and Data Engineering. Hands-on expertise with Microsoft Fabric. Strong cloud experience with Microsoft Azure (preferred) or Amazon Web Services. Deep knowledge of data migrations, master data modeling, and legacy ERP integrations.

Experience with Microsoft Dynamics 365 and enterprise data governance frameworks. Ability to independently design end-to-end data pipelines and implement best practices.
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