Data Architect
Summary: The Data Architect role involves designing scalable enterprise data architecture frameworks and implementing master data management strategies. The position requires collaboration with business and technical stakeholders to ensure effective data solutions and governance. The role is based in Charlotte, NC, and is expected to last for six months. Candidates should have extensive experience in data architecture and engineering, particularly with Microsoft technologies.
Key Responsibilities:
- Design scalable and robust enterprise data architecture frameworks and establish data engineering best practices.
- Architect and execute a phased MDM strategy across Item, Customer, and Vendor Master Data.
- Lead the transition and data integration lifecycle from four legacy ERP systems into Microsoft Dynamics 365.
- Evaluate and implement AI-driven tools for data setup, quality, governance, and compliance.
- Work closely with business and technical stakeholders to deliver scalable data solutions.
Key Skills:
- 5-10 years of strong experience in Data Architecture and Data Engineering.
- Hands-on expertise with Microsoft Fabric.
- Strong cloud experience with Microsoft Azure 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.
Salary (Rate): £52.50 hourly
City: Charlotte
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Architect
Location: Charlotte, NC (Onsite)
Duration: 6 Months
W2 Role - No C2C
Primary Skills: Microsoft Fabric, Azure, Microsoft Dynamics 365
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:
Need 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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