At Smart IT Frame, we connect top talent with leading organizations across the USA.With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering bot...Show moreLast updated: 2 days ago
Promoted
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Promoted
Data Modeler
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Promoted
Data Modeler
Midland Transport Ltd.Toronto, Canada
Full-time
Midland Transport is on an exciting transformation journey to improve customer experience and modernize our operations.As we kick this off,we are seeking a.
Located in the Irving Building in Dieppe ...Show moreLast updated: 8 days ago
Promoted
Data Modeler
J.D. IrvingToronto, Canada
Full-time +1
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Full-time
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Promoted
Data Modeler
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Data Modeler
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Full-time
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Data Modeler
E-SolutionsToronto, ON
Full-time
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Designing L Layer experience for Large Data Transformation Progr...Show moreLast updated: 30+ days ago
At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.
Job Summary
We are seeking a seasoned Senior Data Modeller with strong Capital Markets experience to support and accelerate ongoing data modelling initiatives. The ideal candidate will work closely with business, data, and technology teams to design high-quality, scalable data models supporting capital markets domains.
Key Responsibilities
Design, develop, and maintain conceptual, logical, and physical data models
Accelerate data modelling work for Capital Markets (IDC) initiatives
Collaborate with business stakeholders, architects, and data engineers to gather and refine requirements
Ensure data models align with enterprise data standards, governance, and best practices
Support data integration, transformation, and analytics use cases
Review and optimize existing data models for performance and scalability
Provide guidance and mentorship on data modelling best practices
Required Skills & Experience
10+ years of experience in Data Modelling / Data Architecture
Hands-on expertise in logical, physical, and dimensional data modelling
Strong understanding of financial services data
Experience working with large, complex enterprise data environments
Excellent communication and stakeholder management skills