Senior Data Architect/Modeller (AI/ML, RAG, Generative AI exp)
- Toronto, ON, Canada
$90 to $95 CAD / hour · Contract
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Job details
- Pay
- $90 to $95 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Job Role: Senior Data Architect/Modeller (AI/ML, RAG, Generative AI exp)
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.
More about this job
Responsibilities
Design enterprise data architectures and conceptual, logical, and physical data models for AI/ML, generative AI, analytics, and cloud workloads. Create governed, traceable data architectures that support model training and inference, RAG, feature engineering, AI/ML pipelines, and the model lifecycle.
Requirements
Requires significant experience designing enterprise data architectures and data models for AI/ML, generative AI, analytics, and cloud workloads. Candidates must have deep expertise in cloud data platforms, data engineering, integration, APIs, metadata, lineage, data quality, Azure data and AI services, and governance, security, privacy, and information lifecycle management.
Skills
- Enterprise Data Architecture
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modeling
- Artificial Intelligence
- Machine Learning
- Generative AI
- Retrieval-Augmented Generation
- Cloud Data Platforms
- Data Engineering
- Data Integration
- Azure
- Azure Machine Learning
- Microsoft Foundry
- Data Governance
- Data Quality
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Enterprise Data Architecture
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
- Artificial Intelligence
- Machine Learning
- Generative AI
- Retrieval-Augmented Generation
- Analytics
- Cloud Workloads
- Model Training
- Model Inference
- Feature Engineering
- AI/ML Pipelines
- Cloud Data Platforms
- Data Engineering
- Data Integration
- APIs
- Metadata
- Data Lineage
- Data Quality
- Azure
- Azure Machine Learning
- Microsoft Foundry
- Data Governance
- Data Ownership
- Security
- Privacy
- Model Lifecycle