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Senior Data Architect / Modeller

  • Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

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Job details

Pay
$90 to $100 CAD / hour
Job type
Contract
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Posting language
English
Posted

Original job description

We are looking for an experienced Senior Data Architect / Modeller to help shape enterprise data architecture and build scalable, AI-ready data solutions.

The ideal candidate will bring strong expertise in enterprise data modelling, modern cloud data platforms, and data architecture supporting AI/ML, Generative AI, and advanced analytics.

Key Responsibilities:

  • Design and maintain enterprise data architectures and conceptual, logical, and physical data models.
  • Define scalable data integration, storage, transformation, and sharing patterns.
  • Develop reusable data products and common data models to support enterprise and AI use cases.
  • Establish data architecture, modelling, interoperability, and integration standards.
  • Partner with Data Governance teams to embed data quality, ownership, metadata, lineage, security, and privacy requirements.
  • Support architecture initiatives involving AI/ML, Generative AI, RAG, and advanced analytics.
  • Collaborate with business, Data & AI, architecture, and engineering teams to deliver scalable data solutions.

Must-Have Qualifications:

  • Significant experience in enterprise data architecture and conceptual, logical, and physical data modelling.
  • Hands-on architectural experience supporting AI/ML, Generative AI, analytics, and cloud workloads.
  • Understanding of data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.
  • Strong expertise in modern cloud data platforms, data engineering, APIs, integration, metadata, lineage, and data quality.
  • Strong knowledge of the Azure data and AI ecosystem, including Azure Machine Learning and Microsoft Foundry / Azure AI Foundry.
  • Solid understanding of data governance, data ownership, security, privacy, and information lifecycle management.

Tracker# - 37789

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More about this job

Responsibilities

Design and maintain enterprise data architectures and conceptual, logical, and physical data models, while defining scalable patterns for data integration, storage, transformation, and sharing. Establish reusable data products and architecture standards, embed governance and security requirements, and collaborate across teams to support AI/ML, Generative AI, RAG, and analytics solutions.

Requirements

Requires significant experience in enterprise data architecture and data modelling, with hands-on experience supporting AI/ML, Generative AI, analytics, and cloud workloads. Candidates should have strong expertise in cloud data platforms, data engineering, integration, APIs, metadata, lineage, data quality, Azure data and AI services, and data governance, security, and privacy.

Skills

  • Enterprise Data Architecture
  • Data Modelling
  • Cloud Data Platforms
  • AI/ML Architecture
  • Generative AI
  • Data Integration
  • Data Engineering
  • Data Governance
  • Data Quality
  • Metadata Management
  • Data Lineage
  • APIs
  • Azure Machine Learning
  • Azure AI Foundry
  • RAG
  • Advanced Analytics

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering

Keywords

  • Enterprise Data Architecture
  • Conceptual Data Modelling
  • Logical Data Modelling
  • Physical Data Modelling
  • Cloud Data Platforms
  • Data Integration
  • Data Storage
  • Data Transformation
  • Data Sharing
  • Data Products
  • Common Data Models
  • Data Interoperability
  • Data Governance
  • Data Ownership
  • Data Quality
  • Metadata
  • Data Lineage
  • Security
  • Privacy
  • AI/ML
  • Generative AI
  • RAG
  • Feature Engineering
  • AI/ML Pipelines
  • Model Training
  • Inference
  • Advanced Analytics
  • Azure Machine Learning
  • Azure AI Foundry

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