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Added 13 mins ago
JH
Restaurant Chef - Upscale Dining
JRoss Hospitality Recruiters
Banff, AB
- Full-time
Minimum 8 years of progressive culinary experience, including at least 3 years in a Head Chef or senior culinary leadership position.
Added 13 mins ago
Project Manager, Customer Success & Account Management
GoBolt
Toronto, ON
You will work closely with Account Managers, Warehouse Fulfillment, Transportation, Engineering and Finance teams. A background in logistics or 3PL is a strong asset, but it is not…
Added 14 mins ago
Water Control Systems Planning Engineer
Department of Transportation and Infrastructure
Winnipeg, MB
Reporting to the Senior Water Control System Planning Engineer, the Water Control System Planning Engineer is responsible for providing engineering services related to water management…
Added 28 mins ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 28 mins ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
Provide effective oversight and challenge of the Systems Contractor’s design delivery, ensuring outputs meet project requirements and quality standards.
Added 28 mins ago
AA
Gestionnaire de projet en ingénierie / Project Manager, Engineering
Airbus Aircraft
Montreal, QC
- Full-time
Added 28 mins ago
C
Technical Product Manager
CirrusLabs
Mississauga, ON
- Contract
● You hold a bachelor degree in Computer Science, Biomedical engineering, Computational biology or equivalent and have a minimum of 5 years experience in Technical Product Management in the…
Added 28 mins ago
TE
Sr. Human Resources Business Partner
TK Elevator
Burnaby, BC
- Full-time
TK Elevator (TKE) is a world-leading innovator in vertical transportation and urban mobility. From engineering and installation to maintenance and digital transformation, we support all…
Added 28 mins ago
LA
Junior CAD Designer
Litens Automotive Group
Concord, ON
- Full-time
…highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through…
Added 28 mins ago
B
Building Electrical Engineering Technologist
BPA
Ottawa, ON
- Full-time
…the development, production, and coordination of electrical systems for a variety of building projects. You will play a key role in transforming design concepts into fully coordinated…
Added 28 mins ago
Director, Engineering, Pacific Link
Trans Mountain
Calgary, AB
Provide senior owner engineering support of construction and ensure contractor’s technical plans and procedures align with approved plans, design requirements, contractual obligations and…
Added 28 mins ago
AT
Senior Data Scientist
Adoc Talent Management
Remote, Canada
- Full-time
- Remote
Architect, validate, and launch full-stack machine learning, data engineering, and AI production systems
Added 28 mins ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
We don’t just implement technology; we modernize outdated systems and reimagine processes. Our agile, data-driven approach ensures that digital services are both efficient and adaptable to…
Added 28 mins ago
Senior Purchaser
QinetiQ
Medicine Hat, AB
The Senior Purchaser independently manages assigned sourcing and procurement activities to support production and operational requirements, taking accountability for procurement outcomes…
Added 28 mins ago
A
Senior Traction Engineer
Arcadis
Toronto, ON
- Full-time
Arcadis is seeking a qualified Senior Traction Power Engineer to join our Rail & Transit business and work on delivering our existing and future portfolio of projects. This position can be…
Added 44 mins ago
T
Manager, Operational Foundations
Thumbtack
Remote, Canada
- Full-time
- Remote
As the Manager, Operational Foundations, you will lead the team responsible for the systems, processes, and support capabilities that make partnerships easier to launch and scale. Reporting…
Added 44 mins ago
H
Scientifique de données principal(e)// Senior Data Scientist- Travel Tech
Hopper
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Added 44 mins ago
H
Senior Data Scientist- Travel Tech
Hopper
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
…story our partners need told clearly, repeatedly and fast. As a Senior Data Scientist on HTS you will own the analytical relationship with a portfolio of partners and build the machinery…
Added 44 mins ago
TG
Security Engineering Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
Architecture & Code Reviews: Actively participate in security architecture discussions, threat modeling sessions, and code audits alongside senior engineering teammates.
Added 44 mins ago
TG
Junior Cybersecurity Operations Analyst Intern
TMX Group
Toronto, ON
- $20 to $24 CAD / hour
- Full-time
…operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product…
Added 58 mins ago
CI
Senior Data Architect / Modeler - Contract
Compugen Inc
Toronto, ON
- Contract
Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent professional experience.
Added 58 mins ago
CI
Senior Data Science Developer - Contract
Compugen Inc
Toronto, ON
- Contract
Position Overview: We are seeking an experienced Senior Data Science Developer to design, develop, and implement enterprise-level Artificial Intelligence (AI) solutions, including…
Added 58 mins ago
P
Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
Added 58 mins ago
W
Supply Chain Manager
Worley
AB · Edmonton, AB
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 58 mins ago
MN
Construction Project Manager
Matchtech North America
Toronto, ON · Greater Toronto Area, Canada
- Contract
Monitor project progress and provide status updates to senior leadership and clients.

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

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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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