Senior Data Architect/Modeller
$90 - $95 per hourBevertec
Location : Toronto, ON/Hybrid
Position Type : Contract Role
Start Date
2026-11-23
End Date
2027-04-23
3 days onsite
Ideal Candidate Salary: CAD 90-95/Hr (Depending on the experience)
Must Have:
Significant experience designing enterprise
data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.Deep
technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and
Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.Strong understanding of
data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the
AI/ML and model lifecycle.Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
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Position Type : Contract Role
Start Date
2026-11-23
End Date
2027-04-23
3 days onsite
Ideal Candidate Salary: CAD 90-95/Hr (Depending on the experience)
Must Have:
Significant experience designing enterprise
data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.Deep
technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and
Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.Strong understanding of
data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the
AI/ML and model lifecycle.Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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