Data Architect, Technology Data Management

Canada·Torontomid

Data ArchitectData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Work Location:Toronto, Ontario, Canada Hours:37.5 Line of Business:Technology Solutions Pay Details:$155,000 - $215,

Technical Tools

Data ArchitectData & AI

Toronto, Ontario, Canada

37.5

Technology Solutions

$155,000 - $215,000 CAD

The 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.

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.

Requirements

~1 min read

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.

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.

Sans Objet

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.

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.