Data scientist jobs in Vaughan, ON and nearby

Within 25 km

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Added 1 month ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
Vice President, Data Scientist
BMO
Toronto, ON
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 1 month ago
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Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production
Added 1 month ago
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Data Scientist
BMO
Toronto, ON
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 1 month ago
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Machine Learning Engineer
BMO
Toronto, ON
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
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Principal Data Architect
Hays
Toronto, ON
- Contract
…lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS,…
Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 1 month ago
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Data Architect
Univeris
Toronto, ON
- Full-time
…ecosystem powered by microservices and advanced analytics. As our Data Architect, you will not just manage data; you will define the future of how wealth management data is mastered,…
Added 1 month ago
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Data Architect
Univeris
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
…ecosystem powered by microservices and advanced analytics. As our Data Architect, you will not just manage data; you will define the future of how wealth management data is mastered,…
Added 1 month ago
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Senior Data Scientist
Moneris
Toronto, ON
- Full-time
As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying…
Added 1 month ago
Data Architect
Lantern
Toronto, ON
Lantern is seeking an experienced, client-facing Data Architect to lead enterprise data strategy, architecture, and delivery across Azure Databricks, Microsoft Fabric, Power BI, and Azure.
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
MS
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
- Contract
We are looking for a Data Engineer with strong hands-on experience in Snowflake and dbt (Must Have)
Added 1 month ago
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Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
Added 1 month ago
BC
Analyst, Data Scientist
BMO Capital Markets
Toronto, ON
- Contract
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 1 month ago
Associate, Data Scientist
BMO
Toronto, ON
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 1 month ago
MS
Snowflake Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
- Contract
Looking for a Data Modeler with 5+ years of experience, strong Snowflake & Data Modeling expertise, and 3+ years of P&C Insurance domain experience.
Added 1 month ago
Analyst, Data Scientist
BMO
Toronto, ON
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data…
Added 1 month ago
Intern - Data Scientist, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
The Data Science Co-op assists in transforming data into actionable insights that support customer growth and business objectives. The role contributes to customer analytics, predictive…
Added 1 month ago
EB
Intern - Data Scientist, Winter 2027
EQ Bank
Toronto, ON
- Full-time
The Data Science Co-op assists in transforming data into actionable insights that support customer growth and business objectives. The role contributes to customer analytics, predictive…
Added 1 month ago
M
Data Modeler
MethodHub
Toronto, ON
- Contract
The Data Modeler is responsible for designing, governing, and optimizing the data models required to migrate analytical and operational workflows from Alteryx into Azure Synapse. This role…
Added 1 month ago
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Data Architect
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 1 month ago
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Data Architect
VySystems
Toronto, ON
- Full-time
Job Summary We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale…

Univeris

Data Architect

Toronto, ON, Canada

$130,000 to $150,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $130,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Mar 17, 2027
Experience: Experience: Minimum 7-10 years of experience in Data Architecture, Data Engineering, or a related senior technical role.
Posting language: English
Posted: Sep 18, 2026

Original job description

The Company

Univeris, headquartered in Toronto, Canada, is a privately held company and is the leader in enterprise wealth management for the Canadian market. Founded in 1991, Univeris has over 75 staff and 15 leading financial services clients representing over 17,000 financial advisors on the platform. It offers the most comprehensive wealth management solution for financial advisors in the credit union, banking, insurance, and investment dealer sectors.

Univeris is a world-class technology platform that boasts a number of firsts in Canadian mutual fund distribution including real-time processing, web access, built-in compliance, plus GIC and segregated funds processing capabilities. Technology innovation is one of the cornerstones of Univeris' product development strategy and through its Evergreen approach to technology, new features and capabilities transparently integrate into the platform.

At Univeris, when we are faced with new problems we work together to find solutions, we do what we say, and we are lifelong students.

The Opportunity

At Univeris, we are at a pivotal moment in our technological evolution. We are transforming our industry-leading wealth management platform from a monolithic book-of-record system into a distributed, cloud-enabled ecosystem powered by microservices and advanced analytics. As our Data Architect, you will not just manage data; you will define the future of how wealth management data is mastered, secured, and leveraged at Univeris.

Reporting to the Director of Enterprise Architecture, you will take full ownership of the Data Governance Framework, translating it from policy into practice. You will champion the shift away from "poor documentation" by overseeing the creation of a definitive Data Catalog and Business Glossary, ensuring our data assets are understood and trusted. You will be the architect behind our strategy to decouple complex data dependencies, enabling us to safely offload processing and unlock high-value capabilities like AI-driven insights and automation, and real-time business intelligence. If you are passionate about turning data into a strategic asset and building a culture of "Privacy by Design" and innovation from the ground up, this role is your canvas.

The Role
The successful Candidate will serve as the technical authority on data strategy, modeling, and governance, acting as the primary bridge between Enterprise Architecture and engineering execution. The successful candidate will define concrete architectural patterns, and assist with their application, ensuring the evolution of our data assets is built on a secure, scalable, and compliant foundation. The role will entail:

Strategic Architecture & Modernization: Lead the architectural design for decoupling data from our monolithic systems into domain-specific services. You will define patterns for data synchronization and consistency in a distributed environment.
Analytics & Pipeline Architecture: Architect and oversee the evolution of our data pipeline, ensuring seamless replication of transactional data into our domain service and analytic environments. You will architect solutions with future use-cases in mind, such as advanced BI analytic dashboards, RAG systems, and AI model training.
DataOps: Collaborating with Platform Engineers to establish DataOps best practices to ensure data reliability.
Data Pipeline Productization: Champion a "Data-as-a-Product" mindset for our ingestion and transformation pipelines. You will oversee the evolution of our Data Pipeline and Analytic environment, ensuring these pipelines are not just internal utilities but robust, governed, and marketable assets capable of supporting external integrations and client-facing analytics.
Cloud Data Optimization (FinOps): Architect for cost-efficiency in the cloud. You will design partition strategies, indexing, and lifecycle policies for Data Management Systems we employ to manage the costs of high-volume data storage and compute.
Master Data Management (MDM): Define and enforce strategies for Master Data to resolve "Data Proliferation" issues. You will identify Systems of Record (SoR) and govern data flow between the core book-of-records and downstream applications.
Security & Compliance by Design: Embed regulatory requirements (CIRO, CSA, GDPR) directly into the data model. You will ensure strict adherence to data sovereignty (residency) requirements and implement "Privacy by Design" principles to protect PII.
Data Governance Leadership: Championing and co-leading of the Univeris Data Governance Framework. You will operationalize policies for Metadata Management, Master Data, Data Security, and Data Quality, acting as the primary facilitator for the Data Governance Office (DGO).
Data Quality & Lifecycle: Establish automated Data Quality rules and SLAs for Critical Data Elements (CDEs) such as KYC and Account Information. You will also design retention and disposal mechanisms to meet audit and regulatory mandates.
Collaboration: Guide engineering teams on optimal data access patterns and database performance tuning for high-volume OLTP and batch processing workloads.
Technical Expertise: Set the technology and security vision for a product-aligned architecture roadmap, focused on scalable data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications. Leverage knowledge of several Databse technologies (SQL, NoSQL) to provide guidance on optimal data structure and/or schema design

Skills
The successful candidate will possess a blend of deep technical expertise and strategic governance acumen.

Database Expertise: Expert-level proficiency in Microsoft SQL Server (OLTP optimization, T-SQL) and PostgreSQL. Familiarity with Google BigQuery or similar cloud data warehouses for analytics.
Data Modeling: Advanced skills in conceptual, logical, and physical data modeling for both relational and NoSQL paradigms. Experience designing schemas that support complex financial relationships (Accounts, Clients, Holdings).
Domain-Driven Design: Experience with domain-driven service architectures, and defining patterns required to maintain data consistency in a distributed system.
Integration & Pipelines: Experience designing data pipelines and integration patterns (CDC, Event-Driven Architecture, API-based access). Experience with ELT tools (Dagster, AIrbyte, dbt), and familiarity with batch orchestration tools (Spring Batch, Spring Cloud Dataflow) are highly desirable.
Cloud: Familiarity with cloud data platforms, (e.g. Google GCP Data Platform - Cloud Storage/Cloud SQL, Dataflow/Cloud Composer, BigQuery/Dataproc,etc)
Application Knowledge: Ability to "speak the language" of developers; understanding of how Java and .NET applications interact with databases via ORMs (Hibernate/JPA, Entity Framework).
Governance Tooling: Proficiency with Data Cataloging tools, Data Quality suites, and Metadata management platforms to support the "Clarity Through Documentation" principle.
Evangelism: The ability to champion data culture and convince stakeholders that "Data is a Shared Enterprise Asset".
Communication: Capable of translating complex technical data concepts into business value for Executive Sponsors and Product Managers.

Qualifications
The successful candidate will have the following qualifications and experience:

Experience: Minimum 7-10 years of experience in Data Architecture, Data Engineering, or a related senior technical role.
Industry Background: Proven experience in Wealth Management, Fintech, or Banking is highly desirable. You must understand the regulatory landscape (CIRO/IIROC, MFDA, GDPR) and concepts like KYC, SoR, and PII protection.
Governance Track Record: Demonstrated success in implementing or managing a Data Governance program. You should be able to describe how you moved an organization from "poor documentation" to a governed state.
Architectural Evolution: Experience guiding organizations through a Monolith-to-Microservices decomposition strategy, specifically addressing the challenges of distributed data management.

Extras (Nice to Have)

AI & ML Readiness: Experience architecting data layers for AI/ML adoption, including Vector Databases, RAG (Retrieval-Augmented Generation) patterns, or feature stores.
Cloud Certification: Certifications in Azure or Google Cloud Platform (GCP) related to data architecture.
Reporting Modernization: Experience transitioning legacy reporting into modern BI tools backed by a consolidated analytics platform.
Standards and Frameworks: Knowledge of DAMA-DMBOK and BIAN's standardized data models.

The Work Environment

Our location is downtown Toronto in a small office environment. At the time of this posting, employees at Univeris are expected in the office at least three times a week.

At Univeris we embrace diversity and inclusion. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process may e-mail a request to careers@univeris.com.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Univeris. The final offer amount for this role will be dependent on individual experience and skillset of the candidate.

Apply on LinkedIn About employer

More about this job

Responsibilities

The Data Architect will define the future of data mastery and governance while leading the transformation of the platform from a monolith to a distributed, cloud-enabled ecosystem. They will oversee data pipeline productization, ensure regulatory compliance, and act as the primary bridge between enterprise architecture and engineering execution.

Requirements

Candidates must have 7-10 years of experience in data architecture or engineering, with deep expertise in SQL, NoSQL, and cloud data platforms. A strong background in wealth management or fintech, along with proven success in implementing data governance programs, is highly desirable.

Skills

Data Architecture
Data Governance
Microsoft SQL Server
PostgreSQL
Data Modeling
Domain-Driven Design
Data Pipelines
Cloud Data Optimization
Master Data Management
DataOps
Google Cloud Platform
BigQuery
ETL
Data Quality
Regulatory Compliance
System Architecture

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Wealth Management
Microservices
Cloud-enabled
Data Governance
Data Catalog
Business Glossary
AI-driven insights
DataOps
Master Data Management
MDM
CIRO
GDPR
Data Quality
SQL Server
PostgreSQL
BigQuery
Domain-Driven Design
CDC
Event-Driven Architecture
Dagster
Airbyte
dbt
GCP
FinOps
PII
DAMA-DMBOK
BIAN
Data Modeling
Analytics

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Data scientist jobs in Vaughan, ON and nearby