Data Architect, Technology Data Management

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$155000 - $215000 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 candidates 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 ArchitectTechnology Data Managementrole is responsible for designing governing and evolving the enterprise technology data architecture that underpins the organizations 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:

• Bachelors Degree in Computer Science Information Systems Data Management Engineering Mathematics or a related discipline.

• Masters 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 worlds 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 95000 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.

Were 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 youve got everything you need to succeed in your new role.

Interview Process
Well 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 youd 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

Required Experience:

Staff IC

Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 155000 - 215000