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Data Architect, Technology Data Management
Toronto, Ontario
Actively hiring, first seen by us 1 day ago- Pay
CAD 155,000–215,000/yearAnnual period assumed — pay source
Pay Details: $155,000 - $215,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDefine and maintain the enterprise technology reference data architecture
Develop and maintain the enterprise technology taxonomy and metadata standards
Design logical, conceptual, and physical data models for data products
Identify and document authoritative systems of record and data lineage
Facilitate workshops to define business terms and data relationships
From the employer’s posting
Define and maintain the enterprise technology reference data architecture.
Develop and maintain the enterprise technology taxonomy.
Design logical, conceptual, and physical data models that support enterprise technology data products.
Identify and document authoritative systems of record for technology domains.
Facilitate workshops to define business terms, classifications, and data relationships.
What you’ll bring
All qualificationsCore experience
- Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics, or a related discipline.
- 8-12+ years of experience in data architecture, enterprise architecture, information management, or data modeling.
- Master's Degree preferred in Data Science, Information Management, Computer Science, or Enterprise Architecture.
- 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.
Qualification wording
Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics, or a related discipline.
8-12+ years of experience in data architecture, enterprise architecture, information management, or data modeling.
Master's Degree preferred in Data Science, Information Management, Computer Science, or Enterprise Architecture.
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.
Education & alternatives
- 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:
About TD International
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
TD International is hiring
43 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Azure
- Databricks
- GCP
Where the posting names them
- Databricks Data Engineer or Architect Certification - Azure, AWS, or GCP Data Certifications - ITIL Foundation
- DAMA CDMP - Databricks Data Engineer or Architect Certification - Azure, AWS, or GCP Data Certifications
- 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.
Your next step
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Job description
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Technology SolutionsPay 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 ObjetSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Details: $155,000 - $215,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
- Location & working pattern
Toronto, Ontario
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.