Senior Data Architect/Modeller - Toronto

Randstad Canada; Toronto; Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work schedule

3 days onsite in Toronto

Job summary

Randstad Canada seeks an experienced Senior Data Architect/Modeller to design enterprise data architectures for AI/ML and analytics, leveraging Azure data and AI tools. You will define standards, patterns, and reusable data products while coordinating with governance and engineering teams in a hybrid Toronto setting.

The role emphasizes future-state architecture, data assets, lineage, and lifecycle management across cloud platforms, with a focus on scalable, AI-ready data solutions.

Qualifications

• Significant experience designing enterprise data architectures for AI/ML and cloud workloads.
• Deep expertise in Azure Data, AI ecosystem, APIs, metadata management, and lineage.
• Understanding of data governance, lineage, security, and lifecycle management.
• Experience with data lakehouses, domain-driven design, data mesh, and reusable data products.
• Ability to translate complex requirements into standards, blueprints, and data models.
• Degree in CS/IS/Data Management/Engineering or related field, or equivalent experience.

Responsibilities

• Design and maintain enterprise data architectures and models for AI/ML, analytics, and operational systems.
• Define scalable patterns for enterprise data integration, storage, transformation, sharing, and consumption across cloud platforms.
• Design reusable data products and common canonical data models for multiple business/AI/ML use cases.
• Formulate and execute roadmaps for transitioning from legacy platforms to modern architectures.
• Identify and categorize critical enterprise data assets, entities, and subject areas.
• Establish, document, and champion data architecture standards, interoperability, and API integration.
• Collaborate with Data Governance to embed ownership, metadata, lineage, and lifecycle management into architectures.
• Assess data requirements and architectural implications for AI, Generative AI, ML, RAG, and feature stores.
• Partner with engineering, analytics, and business stakeholders to translate requirements into scalable data solutions.
• Identify gaps, pipelines, and silos to improve interoperability and data reuse.

Skills

AI/ML Architecture

Azure AI Ecosystem

Data Governance

Data Lakehouse

Domain-Driven Design

Requirements Translation

Education Background

Education

Degree in CS/IS/Data Management/Engineering

Job description

We are seeking an experienced Senior Data Architect/Modeller to design, evolve, and implement enterprise data architecture and comprehensive data models that enable scalable analytics, artificial intelligence, and reusable data products. In this role, you will help establish future-state data architecture, identify critical enterprise data assets, and define standards and integration patterns that ensure data is governed, accessible, traceable, and AI-ready. Leveraging modern cloud architectures and the Azure Data and AI ecosystem, you will design conceptual, logical, and physical data models supporting AI/ML pipelines, Generative AI workloads, Retrieval-Augmented Generation (RAG), feature engineering, and advanced analytical solutions.

Location: Toronto, ON (Hybrid – 3 days a week onsite)

Duration: 5-month contract.

Advantages

• Next-Gen AI & Cloud Focus: Architect advanced data models for Generative AI, RAG, and Azure AI Foundry solutions.
• Modern Architecture Patterns: Drive adoption of modern lakehouse and domain-oriented reusable data products.
• Enterprise-Level Visibility: Define future-state data standards and frameworks across the broader organization.
• Hybrid Work Flexibility: Enjoy a balanced hybrid work schedule with 3 days onsite in Toronto.

Responsibilities

• Design and maintain enterprise data architectures and conceptual, logical, and physical data models supporting AI, machine learning, analytics, and operational systems.
• Define scalable architectural patterns for enterprise data integration, storage, transformation, sharing, and consumption across cloud platforms.
• Design reusable data products and common canonical data models capable of supporting multiple business and AI/ML use cases.
• Formulate and execute roadmap strategies for transition from existing legacy platforms to modern future-state architectures.
• Identify and categorize critical enterprise data assets, entities, and subject areas aligned with strategic organizational priorities.
• Establish, document, and champion enterprise data architecture, data modeling, interoperability, and API integration standards.
• Collaborate closely with Data Governance teams to embed data ownership, quality controls, metadata standards, data lineage, classification, and lifecycle management into all architectural deliverables.
• Assess data requirements and architectural implications for AI, Generative AI, machine learning, RAG frameworks, and feature stores.
• Partner with engineering, architecture, analytics, and business stakeholders to translate complex requirements into scalable, practical data solutions.
• Identify architectural gaps, redundant data pipelines, and data silos to foster enhanced interoperability and data reuse across the enterprise.

Qualifications

• AI/ML & Enterprise Data Architecture: Significant experience designing enterprise data architectures and conceptual, logical, and physical data models tailored for AI/ML, Generative AI, advanced analytics, and cloud workloads, including model training, inference, RAG, feature engineering, and AI/ML pipelines (Strictly Required).
• Cloud Platforms & Azure AI Ecosystem: Deep technical expertise in modern cloud data platforms, data engineering, APIs, metadata management, and lineage, with strong practical knowledge of the Azure Data & AI ecosystem, Azure Machine Learning, and Microsoft Foundry / Azure AI Foundry (Strictly Required).
• Data Governance & Lifecycle Management: In-depth understanding of enterprise data governance, data ownership, lineage, quality frameworks, security, privacy, and information lifecycle management to support fit-for-purpose model lifecycles (Strictly Required).
• Modern Architectural Paradigms: Hands‑on experience with modern data concepts such as data lakehouses, domain‑driven design, data mesh, and reusable data products (Strictly Required).
• Cross-Functional Translation: Demonstrated ability to translate complex technical and business requirements into concrete architectural standards, blueprints, and data models (Strictly Required).
• Education & Professional Background: Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent professional experience (Strictly Required).

Nice-to-Have Assets

• Prior enterprise data architecture or data modeling experience within the public sector.
• Relevant cloud or architecture certifications (e.g., Azure Solutions Architect, Azure Data Engineer, TOGAF, CDMP).
• Hands‑on knowledge of master data management (MDM) tools and data catalog platforms.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.