Hybrid! Data Science Developer - Senior, 6 months contract
- Toronto, ON, Canada
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Job details
- Posting language
- English
- Posted
Original job description
- Location: Toronto, Ontario
- Duration: 2026-11-23 to 2027-04-23 ( 110 days)
- Job Type: Hybrid, 3 days onsite per week
- Openings: 1
Requirements:
- 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.
More about this job
Responsibilities
The Data Science Developer at Dimensional Tech Inc. will design enterprise data architectures and data models for AI/ML, Generative AI, analytics and cloud workloads. The role covers data pipelines, governance, lineage and data quality for the full model lifecycle.
Requirements
Candidates need significant experience designing enterprise data architectures and data models for AI/ML and cloud workloads. Strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning and Microsoft Foundry is required, along with expertise in data governance, lineage, quality and privacy.
Skills
- Azure
- Azure Machine Learning
- Microsoft Foundry
- Azure AI Foundry
- Data Architecture
- Data Modeling
- Conceptual, Logical and Physical Data Modeling
- Machine Learning Pipelines
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Feature Engineering
- Data Engineering
- Data Integration
- APIs
- Metadata Management
- Data Lineage
- Data Quality
- Data Governance
- Data Privacy
- Data Security
- Cloud Data Platforms
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Data Science
- Data Architecture
- Enterprise Data Architecture
- Data Modeling
- AI/ML
- Generative AI
- RAG
- Feature Engineering
- Azure
- Azure Machine Learning
- Microsoft Foundry
- Azure AI Foundry
- Data Engineering
- Data Governance
- Data Lineage
- Data Quality
- Cloud Data Platform
- Data Pipelines
Seniority
Senior
Tools
- Azure
- Azure Machine Learning
- Microsoft Foundry
- Azure AI Foundry
Languages
- English