About Compugen

Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us - it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen

Our Culture

We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals - we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview

We are seeking an experienced Senior Data Architect/Modeller to design, develop, and evolve enterprise data architectures and data models that support Artificial Intelligence (AI), Generative AI, machine learning, advanced analytics, and enterprise data initiatives.

The successful candidate will be responsible for establishing scalable, secure, and governed data architectures, developing conceptual, logical, and physical data models, and defining reusable data products and integration patterns that enable enterprise-wide data accessibility and interoperability.

This role will focus on developing future-state data architecture, identifying critical enterprise data assets, and ensuring data platforms are optimized to support AI/ML workloads, including model training, inference,



feature engineering, and Retrieval-Augmented Generation (RAG) solutions.

The ideal candidate will bring deep technical expertise in enterprise data architecture, up-to-date cloud data platforms, Microsoft Azure AI technologies, and data governance, with the ability to translate complex business and technical requirements into scalable, AI-ready data solutions.

Key Responsibilities

- Design, develop, and maintain enterprise data architectures and conceptual, logical, and physical data models supporting AI/ML, Generative AI, analytics, and operational applications.
- Define scalable architecture patterns for enterprise data integration, storage, transformation, sharing, and consumption.
- Design reusable data products, common data models, and standardized data structures that support multiple business functions and AI initiatives.
- Develop and evolve future-state enterprise data architecture, including transition strategies from existing platforms and legacy environments.
- Identify, assess, and define critical enterprise data assets, data domains, and information requirements aligned with organizational priorities.
- Establish enterprise data architecture standards, data modelling methodologies, interoperability frameworks, and integration patterns.
- Design data architectures supporting AI/ML pipelines, model training, inference,



feature engineering, and RAG/grounding data requirements.
- Provide architectural guidance for integrating enterprise data with Azure Machine Learning, Microsoft Azure AI Foundry, and related cloud-based AI services.
- Design modern cloud-based data architectures, including data lakehouse environments, domain-oriented data platforms, and enterprise analytics solutions.
- Define data integration approaches supporting enterprise applications, databases, APIs, cloud platforms, and data engineering pipelines.
- Collaborate with Data Governance teams to incorporate data ownership, quality, metadata, lineage, classification, security, privacy, and lifecycle management requirements into architecture designs.
- Ensure enterprise data architectures support traceability, reliability, scalability, and governance throughout the AI/ML and model lifecycle.
- Assess data architecture requirements for Generative AI, predictive analytics, machine learning, business intelligence, and enterprise reporting initiatives.
- Evaluate existing data environments to identify architectural gaps, data duplication, integration challenges, and opportunities to eliminate data silos.
- Define architectural approaches for master data, reference data, metadata management, and common enterprise data definitions.
- Collaborate with Data Engineers, Data Scientists, AI/ML Engineers, Solution Architects, and business stakeholders to translate requirements into scalable technical solutions.
- Provide technical guidance on data architecture, data modelling, integration standards, and reusable data services.
- Support architecture reviews, technical design assessments, and solution

📌 Senior Data Architect (Toronto)
🏢 Compugen
📍 Toronto