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Lead Data & Risk Architecture Strategist
Job in
Charlotte, Mecklenburg County, North Carolina, 28201, USA
Listed on 2026-06-12
Listing for:
Wells Fargo
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Title:
Lead Data & Risk Architecture Strategist
Location:
Charlotte, NC
Duration: 18 months
Work Engagement: W2
Work Schedule:
Onsite
Benefits on offer for this contract position:
Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Systems Architecture Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel
Required Qualifications:
Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Key Requirements:
* Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
* Technology Architecture within large banks with strong experience in Risk Management solutions (Credit, Market, Operational Risk, GRC platforms)
* Proven expertise in data center migration architectures, including:
* Legacy → modern platform migrations (on-prem / hybrid)
* Environment isolation, minimal data movement, and regulatory-aligned patterns
* Deep expertise in Data & Information Architecture, including:
* Data modeling (logical, physical, canonical) and domain-driven data design
* Semantic modeling and business-aligned data abstraction layers
* Graph-based architectures and multi-dimensional ontologies to represent complex relationships (e.g., entities, hierarchies, controls, risk linkages)
* Strong understanding of data lineage, metadata, traceability, and auditability
* Design of authoritative data sources, reconciliation frameworks, and governed data pipelines
* Hands-on experience with modern data platforms and integration patterns: APIs, event-based, batch/file ingestion
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