TekStaff's Client has a current vacancy for " Senior Data Architect/Modeller ”

This is a 6 month contract located in Toronto, ON (3 days onsite/2 days remote (subject to change))

Job Details

The Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.

Must Haves:

- 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 up-to-date 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.

Public Sector Experience: preferred

Key Responsibilities

- Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
- Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
- Design reusable data products and common data models that can support multiple business and AI use cases.
- Contribute to the organization's future-state data architecture , including transition from existing platforms and architectures.




- Identify and define critical data assets and domains required to support enterprise priorities.
- Establish and promote enterprise data architecture, modelling, interoperability, and integration standards .
- Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products.
- Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
- Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
- Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.

Qualifications & Experience

- Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent experience.
- Significant experience in enterprise data architecture, data modelling, data engineering, or related disciplines .
- Demonstrated experience developing conceptual, logical, and physical data models and enterprise data architectures.
- Experience designing modern data architectures supporting cloud, analytics, AI/ML, and enterprise integration .
- Strong knowledge of data modelling, data integration, APIs, data platforms, metadata, master/reference data, and data quality concepts.
- Understanding of data governance, data ownership, lineage, security, privacy, and information lifecycle management .
- Knowledge of modern architecture approaches such as data lakehouse, data products, domain-oriented architecture, and cloud-based data platforms .
- Ability to translate complex business and technical requirements into practical architecture standards, models, and patterns.
- Strong stakeholder management, communication, documentation, and problem-solving skills.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

📌 Senior Data Architect (Ontario)
🏢 Tekstaff IT Solutions
📍 Ontario