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Added 1 min ago
FC
Interface Coordinator
FCC Construcción
Toronto, ON
- Full-time
…and Durham Region Transit. Delivered through a Progressive Design-Build model, the project offers a unique opportunity to contribute to one of Canada's most significant transportation…
Added 1 min ago
RC
ServiceNow Architect
RSM Canada
Toronto, ON
- Full-time
…individual will establish technical direction, guide solution design and development, promote platform best practices, and help clients maximize the long-term value of their ServiceNow…
Added 1 min ago
P&
Instructional Designer
Parrish & Heimbecker, Limited
Winnipeg, MB
- Full-time
Manage the end-to-end instructional design lifecycle from planning through to completion working on multiple projects
Added 1 min ago
MN
Senior Account Manager
Mosaic North America
Toronto, ON
- Full-time
Build strong client relationships by understanding business objectives, marketing priorities, and organizational dynamics.
Added 1 min ago
WI
Senior Track Engineer
WSP in Canada
BC · British Columbia, Canada
- Full-time
Lead the design and delivery of complex rail infrastructure projects including rail transit projects and heavy rail project with expertise in all stages of design, construction, route…
Added 1 min ago
WI
Senior Project Manager, Municipal Engineering
WSP in Canada
Fort McMurray, AB
- Full-time
Exceptional organizational and time management skills, with a commitment to producing high-quality work and delivering successful project outcomes.
Added 1 min ago
TU
Research Engineer
The University of British Columbia
Kelowna, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Works alongside faculty members, graduate students, and external industry partners to design new processes and recipes for battery projects related to the pouch cell and dry electrode lines
Added 1 min ago
DG
Social Media & Student Engagement Coordinator
Dexterra Group
Charlottetown, PE
- Full-time
Design and publish graphics, flyers, menus, and promotional materials (both digital and printed) using Canva.
Added 1 min ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
Design, support, and troubleshoot CyberArk integrations with Windows, Linux/UNIX, databases, network devices, cloud platforms, directory services, SaaS applications, and other enterprise…
Added 1 min ago
MN
Senior Account Manager
Mosaic North America
Vancouver, BC
- Full-time
Build strong client relationships by understanding business objectives, marketing priorities, and organizational dynamics.
Added 1 min ago
TU
Research Technician - Surgical Support and Overnight Care
The University of British Columbia
Vancouver, BC
- $5,538.94 to $6,497.44 CAD / month
- Full-time
Contributes to the design of research experiments by providing subject matter expertise to help refine the research model and to improve the quality of collected data and experimental…
Added 1 min ago
Q
Product Solution Project Manage
Quectel
Richmond, BC
- Full-time
During the scheme design stage, promote cost reduction design through architecture optimization, platform reuse, and component selection, to support the target gross profit.
Added 1 min ago
Assistant Controller - PFC Canada
PACCAR
Mississauga, ON
…and OAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and…
Added 1 min ago
PF
Assistant Controller - PFC Canada
PACCAR Financial Corp.
Mississauga, ON
- Full-time
…and OAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and…
Added 1 min ago
O|
Demand Generation Manager
OpTalent | Canada | Recruitment
Guelph, ON
- Full-time
Design targeted campaigns to re-engage dormant leads, nurture existing prospects, and improve conversion from initial engagement to sales opportunity.
Added 1 min ago
WI
Senior Project Manager, Alternative Delivery
WSP in Canada
Winnipeg, MB
- Full-time
…multidisciplinary teams to successfully move projects from planning and design through…
Added 1 min ago
LG
Systems Integration Manager
Lotus Group
AB · Edmonton, AB
- Full-time
Develop, review, and coordinate requirements, specifications, designs, drawings, and work instructions for engineering and design teams.
Added 1 min ago
D
Manager, Strategic & Technology Change - Organization & Work Transformation
Deloitte
Winnipeg, MB
- Full-time
There are no typical days for a Manager in our Strategic & Technology Change practice. You will lead the design and delivery of change strategies that help organizations navigate complex…
Added 1 min ago
JI
Bureau de la transformation numérique / Digital Transformation Office - Responsable de l’IA / AI Lead
JAM Industries
Baie-D'Urfé, QC
- Full-time
Added 1 min ago
C
Technical Expert, Engineering - EWIS Integrator
Cyient
Montreal, QC
- Full-time
As a Technical Expert, Engineering - EWIS Integrator, you will act as a technical authority, shape design strategy, and lead enterprise-level technical alignment and capability development.…
Added 16 mins ago
Y
Creative Solutions Lead
Yahoo
CA - Canada
- Full-time
…Sales, Account Management, Editorial, Production, Marketing, Design, Product, Analytics, and external vendors. You will serve as both a strategic advisor and hands-on project lead,…
Added 16 mins ago
S
Senior Human Resources Business Partner
SGS
Calgary, AB · Alberta
- Full-time
Provide HR expertise in the areas of feedback, employee relations, development and coaching, compensation, and organizational design and development.
Added 16 mins ago
T
Senior Treasury Liquidity Measurement Analyst
TD
Toronto, ON
- Full-time
…knowledge, geographic location, and other specific business and organizational…
Added 17 mins ago
Sr. Program Manager, Network Planning, GTS
Amazon
Toronto, ON
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
Added 31 mins ago
B
Senior Compliance Officer, Capital Markets Regulatory Enquiries & Governance (12-months Contract)
BMO
Toronto, ON · FCP
- Full-time
Strong organizational and project coordination skills, including: Scheduling meetings Tracking documentation Following up on investigations and action items

Compugen Inc

Senior Data Architect / Modeler - Contract

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

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, modern 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 evaluations to ensure alignment with enterprise standards.
Develop and maintain architecture documentation, data models, integration specifications, technical standards, and design artifacts.
Identify opportunities to improve enterprise data accessibility, interoperability, reuse, performance, and long-term maintainability.

Skills & Qualifications:

Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent professional experience.
Extensive experience designing enterprise data architectures and conceptual, logical, and physical data models within complex enterprise environments.
Demonstrated experience developing data architectures supporting AI/ML, Generative AI, advanced analytics, and cloud-based workloads.
Strong understanding of data requirements for machine learning pipelines, model training, inference, feature engineering, and Retrieval-Augmented Generation (RAG) solutions.
Deep technical expertise in modern cloud data platforms, enterprise data architecture, data engineering, and scalable integration patterns.
Strong working knowledge of the Microsoft Azure data and AI ecosystem, including Azure Machine Learning and Microsoft Azure AI Foundry.
Experience designing architecture patterns that support scalable, reliable, and production-ready AI/ML solutions.
Strong knowledge of enterprise data modelling, data integration, APIs, data pipelines, and interoperability standards.
Experience designing reusable data products, common data models, and domain-oriented data architectures.
Knowledge of modern data architecture approaches, including data lakehouse, cloud-based data platforms, and enterprise analytics environments.
Strong understanding of metadata management, data lineage, master data management, reference data, and data quality frameworks.
Experience developing future-state data architectures, conducting architecture assessments, and defining transition strategies from legacy environments.
Strong understanding of data governance, data ownership, classification, security, privacy, and information lifecycle management.
Demonstrated ability to design governed, traceable, and fit-for-purpose data architectures that support the complete AI/ML model lifecycle.
Experience identifying critical enterprise data assets, defining data domains, and establishing standardized data structures.
Ability to assess data architecture implications for Generative AI, machine learning, predictive analytics, and enterprise reporting solutions.
Experience identifying architectural gaps, eliminating data silos, and improving data accessibility and reuse across enterprise systems.
Strong ability to translate complex business and technical requirements into practical architecture standards, data models, and integration solutions.
Experience developing enterprise architecture documentation, technical specifications, data models, and integration standards.
Excellent analytical, problem-solving, communication, and stakeholder management skills.
Proven ability to collaborate with cross-functional business and technical teams, manage competing priorities, and deliver scalable enterprise data solutions.

Equity Statement At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

#ITR

#CompugenITR

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More about this job

Responsibilities

Design and evolve enterprise data architectures, models, integration patterns, and reusable data products to support AI/ML, Generative AI, analytics, and operational needs. Establish governed, scalable cloud data solutions and provide architectural guidance, documentation, and collaboration across technical and business teams.

Requirements

Extensive experience designing enterprise data architectures and conceptual, logical, and physical data models, including solutions for AI/ML, Generative AI, analytics, and cloud workloads. Requires strong expertise in Azure data and AI services, data governance and integration, and the ability to translate complex requirements into scalable architecture standards and solutions.

Skills

Enterprise Data Architecture
Data Modeling
Artificial Intelligence
Generative AI
Machine Learning
Microsoft Azure
Azure Machine Learning
Microsoft Azure AI Foundry
Data Governance
Data Integration
Data Lakehouse
Retrieval-Augmented Generation
Data Engineering
Metadata Management
Master Data Management
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Artificial Intelligence
Generative AI
Machine Learning
Azure Machine Learning
Microsoft Azure AI Foundry
Retrieval-Augmented Generation
Data Lakehouse
Cloud Data Platforms
Data Engineering
Data Integration
APIs
Data Pipelines
Data Products
Common Data Models
Data Governance
Metadata Management
Data Lineage
Master Data Management
Reference Data
Data Quality
Data Security
Data Privacy
Feature Engineering
Model Training
Model Inference
Enterprise Analytics

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