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Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Added 1 month ago
H
Architecte de données
Highspring
Montreal, QC
- Full-time
…solutions to organizations across North America. We partner with leading businesses to solve complex challenges through technology, data, and innovation. At Highspring, we believe in…
Added 1 month ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability
Added 1 month ago
P
Intern, Software Developer
Pomerleau
Laval, QC
- Internship
As a Software Developer Intern, you will contribute to the development and enhancement of applications, digital tools, and automation solutions that support Pomerleau's operations. You will…
Added 3 months ago
M
Manager, Data Engineering
Moneris
Toronto, Ontario
- Full-time
Proficiency with SQL, NoSQL, and distributed data processing frameworks on cloud platforms (AWS, Azure, or GCP).
Added 2 months ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
Are you ready to be part of something exciting? Power up your career with us!
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
Added 4 months ago
PC
Data Analyst
Paradigm Consulting
Winnipeg, Manitoba
- Contract
Strong (and demonstrable) knowledge of and experience with reporting packages (e.g. Business Objects), databases (e.g. SQL), programming (e.g. XML, Javascript, or ETL frameworks)
Added 4 months ago
PC
Data Analyst
Paradigm Consulting
Regina, Saskatchewan
- Contract
Strong (and demonstrable) knowledge of and experience with reporting packages (e.g. Business Objects), databases (e.g. SQL), programming (e.g. XML, Javascript, or ETL frameworks)
Added 5 months ago
ICQA Data Analyst
Amazon
Pitt Meadows, British Columbia
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Added 3 months ago
Staff Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 3 months ago
PG
QA Engineer I
Paymentus Group Inc
Ontario
- Full-time
Proficient in one of the following: Java, JavaScript, Python, as well as SQL.
Added 4 months ago
EB
Senior Data Analyst - Activations
EQ Bank | Canada's Challenger Bank
Toronto, Ontario
- Full-time
Demonstrated experience with statistical software (e.g., SAS, R, Python) and/or programming/scripting languages.
Added 3 months ago
S
Senior Software Engineer, Notebooks
Snowflake
Toronto, ON
- $245,250 to $295,250 CAD / year
- Full-time
…who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.…
Added 2 months ago
NF
Data Scientist 2
Northbridge Financial
Toronto, ON
- Full-time
- Other
2+ years of programming experience with SQL and Python/R
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 3 months ago
TR
AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
- Full-time
- Remote
…needs, push to get the right sources into the data lake, work with engineering and TR's central Data and Analytics team, and connect with AI leaders in other product groups so our work…
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with business and technical requirements
Added 4 months ago
Implementation Analyst
Forma.ai
Toronto, Ontario
The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s…
Added 3 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 3 months ago
H(
Manager, Internal Audit IT
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, Ontario · CA ON Toronto
- $86,000 to $131,000 CAD / year
- Full-time
Knowledge of SQL, Python, PowerBI, Tableau, or similar tools in performing data analytics, visualization, and reporting are considered an asset.
Added 2 months ago
Business Systems Analyst with Equities
Scotiabank
Toronto, ON
5+ years of experience with SQL scripting and 3+ years of Python Programming is required

Highspring

Architecte de données

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: Bachelor's degree and 7+ years of relevant experience, or Master's degree and 5+ years of relevant experience.
Posting language: English · French
Posted: Sep 9, 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 organizations across North America. We partner with leading businesses to solve complex challenges through technology, data, and innovation. At Highspring, we believe in empowering our people, fostering expertise, and creating measurable business impact.

The Opportunity

We are seeking a Data Modeler to support large-scale data initiatives and help design, govern, and evolve enterprise data structures. This role will play a key part in translating business requirements into scalable and reusable data models while ensuring data quality, traceability, security, and consistency across solutions.

What You'll Do

Design and evolve conceptual, logical, and physical data models.
Translate business requirements into clear, scalable, and reusable data structures.
Define data modeling, historization, and data lineage standards and rules.
Maintain data models, metadata repositories, data dictionaries, and transformation rules.
Ensure solution alignment across business and technology teams.
Conduct design reviews and provide guidance to delivery teams.
Promote data quality, integrity, security, and confidentiality practices.
Continuously improve data modeling standards and serve as a subject matter expert for the team.

What You Bring to the Table

Bachelor's degree and 7+ years of relevant experience, or Master's degree and 5+ years of relevant experience.
Strong analytical thinking and problem-solving capabilities.
Excellent communication and collaboration skills.
Ability to influence stakeholders and provide technical leadership.
Strong attention to detail and commitment to quality.

Core Skills Required

Expertise in conceptual, logical, and physical data modeling.
Strong knowledge of Data Vault and dimensional modeling methodologies.
Knowledge of data profiling, mapping, historization, and data quality practices.
Advanced SQL proficiency.
Understanding of data governance, security, and privacy requirements.
Experience with enterprise data modeling and cataloging tools.

Our Stack

Cloud Platforms: AWS
Data Platform: Snowflake
Languages: SQL
Nice to Have: Python
Modeling & Governance Tools: Data modeling and data cataloging solutions

Why Join Highspring?

Work on impactful and large-scale data transformation initiatives.
Collaborate with experienced consultants, architects, and technology professionals.
Contribute to modern cloud-based data ecosystems.
Access continuous learning and professional development opportunities.
Be part of a collaborative and high-performing consulting environment.

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À propos de Highspring

Read the full bilingual original

About Highspring

The Opportunity

What You'll Do

Design and evolve conceptual, logical, and physical data models.
Translate business requirements into clear, scalable, and reusable data structures.
Define data modeling, historization, and data lineage standards and rules.
Maintain data models, metadata repositories, data dictionaries, and transformation rules.
Ensure solution alignment across business and technology teams.
Conduct design reviews and provide guidance to delivery teams.
Promote data quality, integrity, security, and confidentiality practices.
Continuously improve data modeling standards and serve as a subject matter expert for the team.

What You Bring to the Table

Bachelor's degree and 7+ years of relevant experience, or Master's degree and 5+ years of relevant experience.
Strong analytical thinking and problem-solving capabilities.
Excellent communication and collaboration skills.
Ability to influence stakeholders and provide technical leadership.
Strong attention to detail and commitment to quality.

Core Skills Required

Expertise in conceptual, logical, and physical data modeling.
Strong knowledge of Data Vault and dimensional modeling methodologies.
Experience designing large-scale data solutions in cloud environments.
Knowledge of data profiling, mapping, historization, and data quality practices.
Advanced SQL proficiency.
Understanding of data governance, security, and privacy requirements.
Experience with enterprise data modeling and cataloging tools.

Our Stack

Cloud Platforms: AWS
Data Platform: Snowflake
Languages: SQL
Nice to Have: Python
Modeling & Governance Tools: Data modeling and data cataloging solutions

Why Join Highspring?

Work on impactful and large-scale data transformation initiatives.
Collaborate with experienced consultants, architects, and technology professionals.
Contribute to modern cloud-based data ecosystems.
Access continuous learning and professional development opportunities.
Be part of a collaborative and high-performing consulting environment.

---

À propos de Highspring

Highspring est une firme nouvelle génération en services-conseils et services professionnels. Nous accompagnons les organisations partout en Amérique du Nord dans leurs initiatives de transformation grâce à des solutions modernes, agiles et innovantes. Nous aidons nos clients à relever leurs défis d'affaires les plus complexes en misant sur la technologie, les données et l'expertise de nos équipes. Chez Highspring, nous favorisons le développement professionnel, le leadership et la création de valeur durable.

L'opportunité

Nous recherchons un(e) Modélisateur(trice) de données pour contribuer à des initiatives stratégiques en gestion et valorisation des données. La personne retenue jouera un rôle clé dans la conception, l'évolution et la gouvernance des structures de données, tout en assurant la qualité, la traçabilité, la sécurité et la cohérence des solutions.

Ce que vous ferez

Concevoir et faire évoluer les modèles de données conceptuels, logiques et physiques.
Traduire les besoins d'affaires en structures de données claires, évolutives et réutilisables.
Définir les règles de modélisation, d'historisation et de traçabilité des données.
Maintenir les modèles de données, dictionnaires, métadonnées et règles de transformation.
Assurer l'alignement des solutions entre les équipes d'affaires et les équipes technologiques.
Réaliser des revues de conception et soutenir les équipes de livraison.
Veiller à la qualité, à l'intégrité, à la sécurité et à la confidentialité des données.
Faire évoluer les pratiques de modélisation et agir comme référence au sein de l'équipe.

Ce que vous apportez

Baccalauréat et au moins sept années d'expérience pertinente, ou maîtrise et au moins cinq années d'expérience pertinente.
Excellente capacité d'analyse et de résolution de problèmes.
Habiletés reconnues en communication et en collaboration.
Leadership technique et capacité à influencer les parties prenantes.
Rigueur, souci de la qualité et sens de l'organisation.

Compétences clés requises

Maîtrise de la conception et de la modélisation de données conceptuelle, logique et physique.
Solide expertise des approches Data Vault et de la modélisation dimensionnelle.
Expérience dans la conception de solutions de données à grande échelle en environnement infonuagique.
Connaissance des pratiques de profilage, de cartographie, d'historisation et de qualité des données.
Excellente maîtrise de SQL.
Bonne compréhension des enjeux liés à la gouvernance, à la sécurité et à la confidentialité des données.
Expérience avec des outils de modélisation et de catalogage des données.

Notre environnement technologique

Plateformes infonuagiques : AWS
Plateforme de données : Snowflake
Langages : SQL
Atout : Python
Outils : Solutions de modélisation et de catalogage de données

Pourquoi joindre Highspring?

Participer à des projets de transformation de données d'envergure.
Collaborer avec des experts en données, architecture et technologies.
Contribuer à la mise en place d'écosystèmes de données modernes basés sur le cloud.
Accéder à des occasions continues d'apprentissage et de développement professionnel.
Évoluer dans un environnement de consultation collaboratif et performant.

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More about this job

Responsibilities

Design and evolve conceptual, logical, and physical data models to translate business requirements into scalable structures. Establish standards for data modeling, historization, and lineage while ensuring data quality and security across the enterprise.

Requirements

Requires a Bachelor's degree with 7+ years of experience or a Master's degree with 5+ years of experience. Must possess strong expertise in Data Vault, dimensional modeling, SQL, and cloud-based data platforms like AWS and Snowflake.

Skills

Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Data Vault
Dimensional Modeling
Cloud Data Solutions
Data Profiling
Data Mapping
SQL
Data Governance
Data Cataloging
AWS
Snowflake
Python
Data Lineage
Metadata Management

Benefits

Continuous Learning
Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Architect
Data Modeler
Data Vault
Dimensional Modeling
AWS
Snowflake
SQL
Python
Data Governance
Data Lineage
Data Profiling
Data Mapping
Metadata
Data Dictionary
Cloud Computing
Enterprise Data Modeling
Data Cataloging
Data Quality
Data Security
Consulting

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