Data Architecture, Taxonomy & Modeling Principal Architect (US)

Hours: 40

Pay Details: $148,720 - $223,080 USDTD 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. Line of Business: Technology Solutions

Data Architect, Technology Data Management: 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.

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. Depth & Scope: Top technical individual contributor role with accountability to guide technology selection through expert knowledge of the catalogue of technology stacks and practices associated with platforms, programming, languages and tools, as well as advanced business acumen and understanding of broader organization issues and relevant technology Accountable for the overall Architecture portfolio, roadmap and definition in the product-based org for their respective journey or platform Responsible for strategic decisions for the Architecture practice within a platform or journey, escalating as appropriate Sets collaboration framework and create solution prototypes for providing Architecture advice and guidance to the product-based org Controls solution and development, regulatory and compliance for complex system landscapes (e.g., hybrid, multi-cloud, edge workloads)

Preferred Qualifications: 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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. 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.

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. AccommodationTD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.