IT & data jobs in Canada

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Added 28 days ago
FE
Financial Data Analyst
Future Electronics
Kirkland, QC
- Full-time
…Python notebooks, Power BI) on the job and grow into our Finance Data & Automation Analyst role. You’ll start by running and checking existing processes, then build new ones with a senior…
Added 28 days ago
TU
Systems Administrator I
The University of British Columbia
Vancouver, BC
- $7,158.42 to $10,292.25 CAD / month
- Full-time
Develop of scripts to automate and improve processes, monitor servers, extract and convert data.
Added 28 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Location: Toronto, ON - Hybrid - 3 days per week onsite - required
Added 28 days ago
Testeur·euse AQ Développement / Development QA Tester
Side
Montreal, QC
Added 28 days ago
Testeur·euse AQ développement senior / Senior Development QA Tester
Side
Montreal, QC
Added 28 days ago
AL
Technical Support Analyst - French speaking
Acturis Limited
Victoria, BC
- Full-time
Hybrid work schedule: work from home up to 3 days per week
Added 28 days ago
IG
Data Engineer
Insight Global
Vancouver, BC
- $70 to $75 CAD / hour
- Contract
Data pipeline creation and maintenance. Stack: Azure Cloud, Azure Databricks, Snowflake
Added 28 days ago
AP
Senior Business Systems Analyst
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- $100,000 to $120,000 CAD / year
- Full-time
…underpin Atlantic’s digital strategy, which is focused on systems, data, and…
Added 28 days ago
AS
ISI Data Analyst - Asset Integrity
Aker Solutions
Fort McMurray, AB
- Full-time
Our Asset Integrity Management Team in Fort McMurray, AB is seeking ISI Data Analyst to support the integrity management of pressure piping systems across operating facilities. This role is…
Added 28 days ago
Software Development Manager (SDM), Amazon Compensation Technology (ACT)
Amazon
Vancouver, BC
Added 28 days ago
UT
L2 IT Support Technician
Ultreia Tech
Montreal, QC
- $70,000 to $85,000 CAD / year
- Contract
Added 28 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Demonstrated knowledge of IFRS17, data analysis, and the insurance domain.
Added 28 days ago
DSS Data Analyst 2
Symcor
Mississauga, ON
The Data Analyst 2 supports the development, maintenance, analysis, and monitoring of data and reporting solutions across the COR.IQ product portfolio. This role supports the Data Analyst 3…
Added 28 days ago
TD
Online Data Analyst - French speakers needed
TELUS Digital
Remote, Canada
- Contract
- Remote
…discover, to find their way. But maps are only as accurate as the data behind them, and data is only as trustworthy as the people who verify it. Your knowledge of Canada's geography, local…
Added 28 days ago
Senior IT Support Engineer
Pantheon Systems, Inc
Vancouver, BC
Contribute to support reporting and service improvements by using ticket and asset data to identify trends, gaps, and opportunities for better tooling or process.
Added 28 days ago
SS
Software Development Manager, FME Flow
Safe Software
Remote, Canada
- $155,100 to $173,300 CAD / year
- Full-time
- Remote
…designers to build the platform our customers rely on to run data integration at enterprise scale. FME Flow takes the workflows authored in FME Form and puts them to work as scheduled and…
Added 28 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
Experience: 4+ years of applied data science delivery
Added 29 days ago
EC
IT Service Desk Analyst (8-month Co-op)
Esri Canada
Toronto, ON
- Internship
Added 29 days ago
C
Senior Consultant - Data Analyst
Cognizant
Mississauga, ON
- Full-time
What You Must Have To Be Considered
Added 29 days ago
C
Technical Project Manager (AML)
CGI
Halifax, NS
- Full-time
Facilitate collaboration among Compliance, Legal, Business Data Stewardship, Engineering, Architecture, Product, and software development teams to align business requirements with technical…
Added 29 days ago
AO
Systems Administrator I
AMS of UBC
Vancouver, BC
- $40.35 CAD / hour
Added 29 days ago
TD
French Speakers - Online Data Analyst
TELUS Digital
Remote, Canada
- $16 to $17 CAD / hour
- Contract
- Remote
…discover, to find their way. But maps are only as accurate as the data behind them, and data is only as trustworthy as the people who verify it. Your knowledge of Canada's geography, local…
Added 29 days ago
MP
Greenhouse Systems Administrator
Mastronardi Produce
Kingsville, ON
- $60,000 CAD / year
- Full-time
Must have an expert understanding of Excel and Microsoft Project · Must have manual dexterity to perform computer skills
Added 29 days ago
ES
Technical Support Engineer L2
EN3 Solutions Ltd. (Canada)
Mississauga, ON
- Full-time
Availability for rotational morning and night shifts as required
Added 29 days ago
H
Senior Business Systems Analyst
Hays
Toronto, ON
- $55 to $65 CAD / hour
- Contract
Experience supporting large-scale data and technology transformation initiatives.

Highspring

AI & Data Architect

Greater Montreal Metropolitan Area, QC, Canada

Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Contract
Posting language: English · French
Posted: Oct 16, 2026

Original job description

English section of this bilingual listing.

About Highspring

Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to our clients across North America. We work with some of the most innovative organizations across industries to help them accelerate transformation through technology, data, and innovation. At Highspring, we believe in empowering our people, fostering technical leadership, and delivering meaningful business impact.

The Opportunity

Highspring is seeking an experienced AI & Data Architect to join a strategic Data and AI transformation initiative within a large enterprise environment. This role will focus on evolving enterprise Data and AI platforms, defining architecture strategies, and enabling the adoption of modern cloud-native and AI-driven capabilities.

You will work closely with architecture, engineering, business, and delivery teams to design scalable, secure, and resilient solutions while supporting enterprise modernization efforts.

What You'll Do

Design cloud-native Data and AI platforms that are scalable, secure, resilient, and aligned with enterprise architecture principles.
Develop architecture blueprints and implementation approaches that comply with security, governance, and operational requirements.
Architect AI/ML platforms and solutions, including model training, experimentation, deployment, serving, feature stores, and MLOps capabilities.
Drive the adoption of Generative AI, event-driven architectures, serverless computing, DevSecOps practices, and Infrastructure as Code.
Lead technical assessments, cost evaluations, risk analyses, and build-versus-buy recommendations.
Partner with business stakeholders, architects, engineers, and delivery teams to ensure successful solution alignment and execution.
Manage complex cross-functional dependencies and support major platform transformation and migration initiatives.
Provide technical leadership, mentorship, and architectural guidance across multiple workstreams.

What You Bring to the Table

10+ years of experience in Solution Architecture, preferably within enterprise-scale Data and AI environments.
Demonstrated experience designing and delivering cloud-based Data and AI platforms.
Strong leadership skills with the ability to influence architecture decisions and align diverse stakeholders.
Excellent communication and collaboration skills across technical and business audiences.
Experience working in Agile delivery environments.
Ability to manage multiple initiatives while balancing strategy and execution.
Professional proficiency in both French and English.

Core Skills Required

Cloud Architecture

Deep expertise with AWS cloud services, including:
AWS Lambda
Amazon S3
Amazon EC2
Amazon ECS
Amazon RDS
Amazon DynamoDB
Amazon API Gateway
Application Load Balancer (ALB)
Amazon CloudWatch
Amazon SageMaker
AWS AgentCore

Data & AI Architecture

Enterprise Data Platform architecture and ecosystem design.
Integration of Data and AI solutions with enterprise systems.
Architecture governance, standards, and best practices.

AI/ML & MLOps

Model lifecycle management and deployment strategies.
Model hosting and serving architectures.
Experimentation tracking and orchestration frameworks.
MLOps platforms and pipelines.
Hands-on experience with Databricks and/or SageMaker.

Security & Governance

Authentication and authorization frameworks.
Secure architecture principles.
Compliance, monitoring, logging, and alerting strategies.
Enterprise governance and risk management considerations.

Cloud-Native Engineering

Docker and Kubernetes.
Serverless architecture patterns.
Event-driven architecture design.
Infrastructure as Code (IaC).
DevSecOps practices.

Leadership

Architectural governance and decision-making.
Stakeholder management.
Constructive challenge and strategic influence.
Team mentoring and technical leadership.

Why Join Highspring?

Join a team of experienced consultants delivering large-scale transformation initiatives.
Influence the future of enterprise Data and AI platforms.
Work with leading cloud, analytics, and AI technologies.
Collaborate with highly skilled architecture, engineering, and business teams.
Access continuous learning, certification, and professional development opportunities.

Read the full bilingual original

About Highspring

The Opportunity

You will work closely with architecture, engineering, business, and delivery teams to design scalable, secure, and resilient solutions while supporting enterprise modernization efforts.

What You'll Do

Define, evolve, and communicate enterprise Data & AI architecture strategies, roadmaps, standards, and design patterns.
Design cloud-native Data and AI platforms that are scalable, secure, resilient, and aligned with enterprise architecture principles.
Develop architecture blueprints and implementation approaches that comply with security, governance, and operational requirements.
Architect AI/ML platforms and solutions, including model training, experimentation, deployment, serving, feature stores, and MLOps capabilities.
Drive the adoption of Generative AI, event-driven architectures, serverless computing, DevSecOps practices, and Infrastructure as Code.
Lead technical assessments, cost evaluations, risk analyses, and build-versus-buy recommendations.
Partner with business stakeholders, architects, engineers, and delivery teams to ensure successful solution alignment and execution.
Manage complex cross-functional dependencies and support major platform transformation and migration initiatives.
Provide technical leadership, mentorship, and architectural guidance across multiple workstreams.

What You Bring to the Table

10+ years of experience in Solution Architecture, preferably within enterprise-scale Data and AI environments.
Demonstrated experience designing and delivering cloud-based Data and AI platforms.
Strong leadership skills with the ability to influence architecture decisions and align diverse stakeholders.
Excellent communication and collaboration skills across technical and business audiences.
Experience working in Agile delivery environments.
Ability to manage multiple initiatives while balancing strategy and execution.
Professional proficiency in both French and English.

Core Skills Required

Cloud Architecture

Deep expertise with AWS cloud services, including:
AWS Lambda
Amazon S3
Amazon EC2
Amazon ECS
Amazon RDS
Amazon DynamoDB
Amazon API Gateway
Application Load Balancer (ALB)
Amazon CloudWatch
Amazon SageMaker
AWS AgentCore

Data & AI Architecture

Enterprise Data Platform architecture and ecosystem design.
Integration of Data and AI solutions with enterprise systems.
Architecture governance, standards, and best practices.

AI/ML & MLOps

Model lifecycle management and deployment strategies.
Model hosting and serving architectures.
Experimentation tracking and orchestration frameworks.
MLOps platforms and pipelines.
Hands-on experience with Databricks and/or SageMaker.

Security & Governance

Authentication and authorization frameworks.
Secure architecture principles.
Compliance, monitoring, logging, and alerting strategies.
Enterprise governance and risk management considerations.

Cloud-Native Engineering

Docker and Kubernetes.
Serverless architecture patterns.
Event-driven architecture design.
Infrastructure as Code (IaC).
DevSecOps practices.

Leadership

Architectural governance and decision-making.
Stakeholder management.
Constructive challenge and strategic influence.
Team mentoring and technical leadership.

Why Join Highspring?

Join a team of experienced consultants delivering large-scale transformation initiatives.
Influence the future of enterprise Data and AI platforms.
Work with leading cloud, analytics, and AI technologies.
Collaborate with highly skilled architecture, engineering, and business teams.
Access continuous learning, certification, and professional development opportunities.
Contribute to impactful projects that drive measurable business outcomes.

---

À propos de Highspring

Highspring est une firme de consultation et de services professionnels de nouvelle génération. Nous offrons à nos clients partout en Amérique du Nord des solutions modernes, agiles et innovantes. Nous collaborons avec certaines des organisations les plus avant-gardistes afin de les accompagner dans leur transformation numérique, leurs initiatives de données et leurs projets d'innovation. Chez Highspring, nous misons sur le leadership technique, l'excellence professionnelle et la création d'un impact concret pour nos clients.

L'opportunité

Highspring est à la recherche d'un(e) Architecte IA et Données expérimenté(e) pour contribuer à l'évolution d'importantes plateformes de données et d'intelligence artificielle au sein d'un environnement d'entreprise de grande envergure.

Cette personne jouera un rôle clé dans la définition de stratégies d'architecture, la conception de plateformes modernes et l'adoption de capacités avancées en IA, données et infonuagique.

Ce que vous ferez

Définir et faire évoluer les stratégies, feuilles de route, normes et patrons d'architecture Data & IA à l'échelle de l'entreprise.
Concevoir des architectures infonuagiques de données et d'intelligence artificielle sécurisées, robustes, évolutives et résilientes.
Produire des architectures de référence et des stratégies d'implantation conformes aux exigences de sécurité et de gouvernance.
Concevoir des architectures IA/ML couvrant l'expérimentation, l'entraînement, le déploiement, l'hébergement de modèles, les feature stores et les pipelines MLOps.
Favoriser l'adoption de l'IA générative, des architectures événementielles, des technologies sans serveur, des pratiques DevSecOps et de l'Infrastructure as Code.
Réaliser des évaluations techniques, des analyses de risques et de coûts ainsi que des études « build vs buy ».
Collaborer avec les équipes d'affaires, d'architecture, d'ingénierie et de livraison afin d'assurer l'alignement des solutions sur les principes d'architecture d'entreprise.
Gérer les dépendances entre équipes et soutenir des programmes complexes de migration et de transformation de plateformes.
Exercer un leadership technique et offrir du mentorat auprès des équipes.

Ce que vous apportez

Plus de 10 ans d'expérience en architecture de solutions, idéalement dans des environnements Data et IA à grande échelle.
Expérience démontrée dans la conception de plateformes de données et d'intelligence artificielle infonuagiques.
Forte capacité à influencer les orientations architecturales et à travailler avec de multiples parties prenantes.
Excellentes aptitudes de communication et de collaboration.
Expérience dans des environnements Agile.
Capacité à gérer simultanément plusieurs initiatives stratégiques.
Maîtrise professionnelle du français et de l'anglais.

Compétences essentielles

Architecture AWS

Expertise avancée des services AWS :
Lambda
S3
EC2
ECS
RDS
DynamoDB
API Gateway
ALB
CloudWatch
SageMaker
AgentCore

Architecture Data & IA

Conception de plateformes de données d'entreprise.
Architecture d'écosystèmes Data et IA.
Intégration avec les systèmes d'entreprise.
Gouvernance et standards d'architecture.

IA/ML et MLOps

Gestion du cycle de vie des modèles.
Déploiement et hébergement de modèles.
Gestion de l'expérimentation.
Orchestration et automatisation MLOps.
Expérience avec Databricks et/ou SageMaker.

Sécurité et gouvernance

Authentification et autorisation.
Principes d'architecture sécurisée.
Surveillance, journalisation et alertes.
Conformité et gouvernance d'entreprise.

Architecture infonuagique moderne

Docker et Kubernetes.
Architectures serverless.
Architectures orientées événements.
Infrastructure as Code (IaC).
DevSecOps.

Leadership

Gouvernance architecturale.
Gestion des parties prenantes.
Influence stratégique.
Mentorat et accompagnement technique.

Pourquoi rejoindre Highspring?

Participer à des initiatives de transformation stratégiques à grande échelle.
Contribuer à l'évolution des plateformes d'entreprise en données et intelligence artificielle.
Travailler avec des technologies de pointe en cloud, analytique et IA.
Collaborer avec des experts en architecture, ingénierie et livraison.
Bénéficier d'occasions continues de formation, de certifications et de perfectionnement professionnel.
Avoir un impact concret sur des projets à forte valeur d'affaires.

Apply on LinkedIn About employer

More about this job

Responsibilities

Define enterprise Data and AI architecture strategies, standards, and roadmaps, and design secure, scalable cloud-native platforms and AI/ML solutions. Lead technical assessments and transformation initiatives while aligning stakeholders, managing cross-functional dependencies, and mentoring teams.

Requirements

Requires 10+ years of solution architecture experience, preferably designing and delivering enterprise-scale cloud Data and AI platforms, along with strong leadership and stakeholder collaboration skills. Candidates should have experience in Agile environments, expertise in AWS and AI/ML or MLOps technologies, and professional proficiency in French and English.

Skills

AWS Cloud Architecture
Enterprise Data Architecture
AI/ML Architecture
MLOps
Databricks
Amazon SageMaker
Generative AI
Docker
Kubernetes
Serverless Architecture
Event-Driven Architecture
Infrastructure as Code
DevSecOps
Security and Governance
Stakeholder Management
Technical Leadership

Benefits

Continuous Learning
Certification Opportunities
Professional Development

Visa sponsorship

Not detected in the job text

Keywords

AWS
AWS Lambda
Amazon S3
Amazon EC2
Amazon ECS
Amazon RDS
Amazon DynamoDB
Amazon API Gateway
Application Load Balancer
Amazon CloudWatch
Amazon SageMaker
AWS AgentCore
Databricks
Enterprise Data Platforms
AI/ML
MLOps
Generative AI
Feature Stores
Docker
Kubernetes
Serverless Computing
Event-Driven Architecture
Infrastructure as Code
DevSecOps
Agile
Architecture Governance
Security and Compliance
Cloud-Native Architecture
Platform Migration
Build-versus-Buy Analysis

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IT & data jobs in Canada

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IT & data jobs in Canada