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Data Designer I

Toronto, ON, Canada

$69,700 - $98,400 CAD · Full-time

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Job details

Pay: $69,700 - $98,400 CAD
Job type: Full-time
Apply by: Nov 4, 2026
Experience: 2+ years of relevant experience in data design, data analysis, business information management, data engineering, or a related field.
Posting language: English
Posted: Oct 26, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$69,700 - $98,400 CAD

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:

We are looking for a Data Designer I to join our development team and support a multi-year roadmap within Canadian Personal Banking. This role will focus on translating business needs into effective data solutions, with responsibility for requirements gathering, data modelling, data mapping, lineage, data quality, and supporting data integration.

The successful candidate will bring a strong combination of technical and business knowledge, ideally within Personal Banking, and will work closely with business, technology, development, and quality assurance teams. You will be comfortable navigating complex data challenges, working with large datasets, and adapting to changing priorities in a fast-paced environment.

Key Accountabilities

Gather and translate business data requirements into clear technical specifications for data ingestion, curation, and consumption.
Design and maintain data models using industry-standard modelling tools.
Analyze, profile, validate, and map source data to support integration into data platforms and warehouses.
Document current- and future-state data flows, data mappings, business rules, and technical decisions.
Define and maintain data dictionaries, metadata, and data lineage in alignment with enterprise standards and tools.
Investigate data quality and integrity issues, identify root causes, and partner with development teams to implement solutions.
Collaborate with business, technology, development, and quality assurance teams throughout design, development, testing, implementation, and post-implementation support.
Participate in business and technical design reviews to ensure data solutions support business and operational requirements.
Apply data governance, security, retention, and risk management requirements throughout the data lifecycle.
Support change and release activities and clearly communicate risks, issues, dependencies, and progress to stakeholders.
Contribute to continuous improvement and share data expertise and best practices across the team.

Required Experience

2+ years of relevant experience in data design, data analysis, business information management, data engineering, or a related field.
Hands-on experience with data modelling, data mapping, data lineage, and requirements gathering.
Strong SQL skills and experience working with ETL/data integration processes.
Experience analyzing and working with large and complex datasets.
Strong analytical and problem-solving skills, including investigating and resolving data quality issues.
Experience translating business requirements into technical data requirements and solutions.
Ability to work independently across multiple priorities and collaborate effectively with both business and technical stakeholders.
Strong written and verbal communication skills.
Undergraduate degree, technical certificate, or equivalent combination of education and relevant experience.
Proficiency in at least one programming language.

Preferred Experience

Experience with Python and/or PySpark.
Experience with Azure Databricks.
Knowledge of Canadian Personal Banking products, processes, and data.
Experience with enterprise data governance, metadata management, and data lineage tools.
Familiarity with data visualization tools.
Experience supporting data solutions through development, testing, implementation, and production support.
Experience working with big data technologies and modern data platforms.
Experience leading a workstream or contributing to complex, multi-team data initiatives.

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 Designer I will translate business needs into technical data solutions, including requirements gathering, data modelling, and data mapping. They will also ensure data quality, maintain data lineage, and collaborate with cross-functional teams to support data integration.

Requirements

Candidates must have at least 2 years of experience in data design, analysis, or engineering, along with strong SQL and data modelling skills. An undergraduate degree or equivalent technical certification is required, with preference given to those familiar with Azure Databricks and Canadian Personal Banking.

Skills

Data modelling
Data mapping
Data lineage
Requirements gathering
SQL
ETL
Data integration
Data analysis
Data quality
Python
PySpark
Azure Databricks
Metadata management
Data governance
Problem-solving
Communication

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 Designer
Data Modelling
Data Mapping
Data Lineage
Data Quality
Data Integration
SQL
ETL
Python
PySpark
Azure Databricks
Metadata Management
Data Governance
Personal Banking
Data Warehousing
Big Data
Business Requirements
Technical Specifications
Data Lifecycle
Risk Management
Data Analysis
Business Information Management
Data Engineering
Release Management
Stakeholder Management

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