Senior Data Architect / Data Modeller, Ai/Ml & Cloud

Senior Data Architect / Data Modeller, AI/ML & CloudLocation:
Toronto, ON (Hybrid, 3 days onsite per week, near Union Station)
Language:
Strong written and verbal English communication skills
Duration:
Contract until May 31, 2027
About the OpportunityAre you an experienced Data Architect passionate about building scalable, AI-ready data solutions? We're looking for a Senior Data Architect / Data Modeller to help shape the future of enterprise data architecture, enabling advanced analytics, Generative AI, machine learning, and innovative data products.
In this role, you'll collaborate with business leaders, data engineers, architects, and governance teams to design modern, secure, and reusable data solutions. Your expertise will help establish the foundations for enterprise-wide AI adoption and data-driven decision-making.
What's In It for You
Work on high-impact enterprise data transformation and AI initiatives.
Gain exposure to modern Azure technologies and emerging Generative AI capabilities.
Collaborate with experienced professionals across architecture, engineering, and governance teams.
Help influence future-state architecture, standards, and enterprise data strategy.
Your Responsibilities
You'll design enterprise data architectures and conceptual, logical, and physical data models supporting analytics, AI/ML, and operational workloads.
You'll define scalable patterns for data integration, storage, transformation, sharing, and consumption.
You'll architect AI-ready data solutions supporting model training, inference, RAG, feature engineering, and ML pipelines.
You'll develop reusable data products, common data models, and enterprise integration standards.
You’ll partner with governance teams to embed data quality, ownership, metadata, lineage, security, privacy, and lifecycle requirements.
You’ll assess existing platforms, identify architecture gaps, and contribute to future-state cloud data architecture.
You’ll collaborate with business and technical stakeholders to translate complex requirements into practical, scalable solutions.
Skills and Qualifications
Significant experience in enterprise data architecture, data modelling, data engineering, and cloud-based solutions.
Proven expertise designing conceptual, logical, and physical data models for enterprise analytics, AI/ML, and Generative AI workloads.
Deep knowledge of Azure data services, Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, and scalable cloud architecture patterns.
Strong understanding of AI/ML data requirements, including RAG, model training, inference, feature engineering, and data pipelines.
Expertise in data integration, APIs, metadata, master/reference data, lineage, data quality, and modern data platforms.
Knowledge of lakehouse architecture, domain-oriented design, data products, governance, security, privacy, and information lifecycle management.
Strong communication, stakeholder management, documentation, and problem-solving skills, with a relevant degree or equivalent experience.
We appreciate the time and effort all applicants invest in their submissions.
Please note that only candidates shortlisted for this role will be contacted directly.
However, your profile will remain under consideration for future opportunities that align with your experience and career goals.
All qualified applicants will receive fair consideration for employment.
We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities.
If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.
Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.
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