Data scientist jobs in Toronto, ON and nearby

Data scientist jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 514
Employers: 241

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $71.71Across 24 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 54%280 listings
On-site: 45%233 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 29 days ago
Scientifique principal des données I
Bell
Toronto, ON
Added 1 month ago
TR
Lead Data Scientist, Customer & Growth Analytics
Thomson Reuters
Toronto, ON
- Full-time
Thomson Reuters Legal is seeking a Lead Data Scientist to help power data-driven growth and adoption of our AI-enabled legal solutions. In this role, you will design, build, and maintain…
Added 1 month ago
H
Data Architect, Enterprise Data Management
Hays
Toronto, ON
- Contract
Our client is a leading Canadian financial services organization undergoing a significant enterprise data transformation. As part of its modernization journey, the organization is investing…
Added 1 month ago
Senior Data Scientist
Momentum Financial Services Group
Toronto, ON
Added 1 month ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 1 month ago
T
Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
Added 1 month ago
T
Data Scientist II
TD
Markham, ON · Toronto, ON
- Full-time
Added 1 month ago
T
Data Scientist II
TD
Markham, ON · Toronto, ON
- Full-time
Added 1 month ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Added 1 month ago
D
Data Scientist, Data valorization
Desjardins
Mississauga, ON · Toronto, ON
- Full-time
As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead…
Added 1 month ago
AI and Data - Data Architect - Healthcare
EY
Toronto, ON
We are seeking a Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical leadersh
Added 1 month ago
E
Data Scientist
eBay
Toronto, ON
- Full-time
Added 1 month ago
I
Principal Data Scientist, Product Data & Analytics
Intuit
Toronto, ON
- Full-time
We are seeking a Principal Data Scientist to lead I
Added 1 month ago
IC
HR Data Scientist, Data Eng.
IT Connex
Toronto, ON
- Contract
Our client is looking for a Senior Data Scientist to join its HR Data Science team and turn complex workforce data into clear, actionable intelligence that shapes people strategies at a…
Added 1 month ago
AI COE - Senior Data Scientist
EY
Toronto, ON
As a Senior Data Scientist, you will be an integral part of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. Reporting to the Lead Data…
Added 1 month ago
O
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $192,000 to $264,000 CAD / year
- Full-time
Added 1 month ago
F
Data Scientist, Risk Modeling & Analytics
Financeit
Toronto, ON
- $75,000 to $100,000 CAD / year
- Full-time
Added 1 month ago
W
Machine Learning Scientist II
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
The ML Scientist II in Wayfair's Applied Research organization designs and implements machine learning algorithms that enable systems to learn from data and make informed predictions or…
Added 1 month ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
Added 1 month ago
IC
Data Scientist
IT Connex
Toronto, ON
- Contract
🚨 Hiring: Senior Data Scientist – People Analytics & Insights
Added 1 month ago
SL
Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 1 month ago
Sr. Data Scientist
Pinterest
Toronto, ON
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
- Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 1 month ago
Data Scientist, Decisions - Mapping
Lyft
Toronto, ON
As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes…
Added 1 month ago
QA
Data Scientist II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time

Data Architect, Technology Data Management

Toronto, ON, Canada

$155,000 - $215,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $155,000 - $215,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Experience: 8-12+ years of experience in data architecture, enterprise architecture, information management, or data modeling.
Posting language: English
Posted: Oct 1, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$155,000 - $215,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The Data Architect, Technology Data Management role is responsible for designing, governing, and evolving the enterprise technology data architecture that underpins the organization's Technology Reference Data strategy. Reporting to the Head of Technology Reference Data, this position establishes the common taxonomy, canonical data models, metadata standards, and information architecture required to integrate technology data from infrastructure, cybersecurity, cloud, AI, and enterprise technology domains into a unified and authoritative data ecosystem.

The role serves as the architectural authority for technology reference data, ensuring data consistency, interoperability, scalability, and traceability across systems of record, data products, reporting platforms, and analytics solutions. This position plays a critical role in enabling enterprise governance, operational management, risk reporting, regulatory compliance, and executive decision-making through standardized and trusted data.

KEY ACCOUNTABILITIES:

Enterprise Data Architecture

Define and maintain the enterprise technology reference data architecture.

Develop and govern canonical data models across infrastructure, cyber, cloud, AI, operational, and service management domains.

Establish architectural standards for technology data integration, storage, relationships, and consumption.

Define data architecture principles that support scalability, consistency, and enterprise-wide reuse.

Taxonomy & Metadata Management

Develop and maintain the enterprise technology taxonomy.

Standardize technology definitions, classifications, hierarchies, and naming conventions.

Establish metadata standards to support data quality, governance, traceability, and reporting consistency.

Partner with business and technology stakeholders to ensure shared understanding of technology data concepts.

Common Data Modeling

Design logical, conceptual, and physical data models that support enterprise technology data products.

Define relationships among applications, infrastructure assets, cloud services, technology products, capabilities, risks, controls, and business services.

Create reusable models that support enterprise reporting, analytics, and governance requirements.

Ensure data models support current and future technology platforms and business needs.

System of Record Strategy

Identify and document authoritative systems of record for technology domains.

Define rules for data sourcing, master data management, and authoritative ownership.

Establish traceability and lineage between source systems, data products, reports, and metrics.

Support onboarding and integration of new systems into the enterprise data fabric.

Data Governance & Quality

Partner with governance teams to define standards for data quality, completeness, and integrity.

Establish data validation rules and modeling standards that improve consistency across data domains.

Support stewardship activities by providing architectural guidance and standards.

Ensure compliance with enterprise data policies and regulatory requirements.

Data Products Enablement

Define the data structures and semantic models required to support enterprise data products.

Partner with Data Product Managers to translate business requirements into scalable information models.

Ensure data products use common definitions and standardized enterprise relationships.

Support creation of reusable, governed data assets that can be consumed through APIs, dashboards, and reports.

Stakeholder Engagement

Collaborate with Enterprise Architecture, Infrastructure, Cybersecurity, Engineering, Finance, Risk, and Data teams.

Facilitate workshops to define business terms, classifications, and data relationships.

Act as a trusted advisor on technology data architecture, taxonomy, and modeling decisions.

Influence stakeholders toward adoption of common standards and enterprise models.

EDUCATION & EXPERIENCE:

Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics, or a related discipline.

Master's Degree preferred in Data Science, Information Management, Computer Science, or Enterprise Architecture.

Relevant industry certifications preferred:

TOGAF

DAMA CDMP

Databricks Data Engineer or Architect Certification

Azure, AWS, or GCP Data Certifications

ITIL Foundation

8-12+ years of experience in data architecture, enterprise architecture, information management, or data modeling.

Proven experience defining enterprise taxonomies, metadata frameworks, and common data models.

Strong experience in designing data architectures for cloud-based data platforms, preferably Databricks.

Experience integrating multiple systems of record into common enterprise data structures.

Demonstrated expertise in data governance, metadata management, lineage, and data quality frameworks.

Experience supporting enterprise reporting, analytics, and business intelligence initiatives.

Strong understanding of infrastructure, cybersecurity, cloud, AI, and technology management domains.

Experience working in large, complex, and highly regulated organizations.

Excellent stakeholder management, facilitation, and communication skills.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

The Data Architect designs and governs the enterprise technology data architecture, establishing canonical models and metadata standards to ensure data consistency across the organization. This role acts as the architectural authority for technology reference data, supporting enterprise governance, risk reporting, and strategic decision-making.

Requirements

Candidates must possess a Bachelor's degree in a relevant field and 8-12+ years of experience in data architecture or enterprise information management. Proven expertise in designing data architectures for cloud platforms, defining enterprise taxonomies, and managing complex data governance frameworks is required.

Skills

Data architecture
Enterprise architecture
Data modeling
Metadata management
Data governance
Canonical data models
Taxonomy development
Cloud platforms
Databricks
Data lineage
Data quality frameworks
Stakeholder management
System of record strategy
Information architecture
Regulatory compliance

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Enterprise Architecture
Data Modeling
Metadata Management
Data Governance
Canonical Data Models
Taxonomy
Databricks
Cloud Computing
Cybersecurity
Artificial Intelligence
Data Lineage
Data Quality
TOGAF
DAMA CDMP
ITIL
Azure
AWS
GCP
Information Management
System of Record
Data Fabric
Regulatory Compliance
Business Intelligence
Infrastructure

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