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Quality Manager
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- Full-time
As a Quality Manager, you will lead the the Quality team and program on a projects in your assigned location.
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Manager, Engineering - TD Data Platform

Toronto, ON, Canada

$126,800 - $164,100 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually. · Full-time

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Job details

Pay: $126,800 - $164,100 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Apply by: Nov 4, 2026
Experience: 7+ years of relevant technology and engineering experience.
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:

$126,800 - $164,100 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:

We are looking for an experienced Engineering Leader to lead a team of Data Engineers and Technology Specialists supporting Branch Banking, Coach Ready and Loyalty. This role will provide technical and people leadership while helping deliver a critical 2–3-year technology roadmap for Canadian Personal Banking.

You will combine strong data engineering expertise with people leadership, partnering across Technology and the business to deliver scalable, reliable solutions aligned with enterprise standards and evolving industry practices.

Key Accountabilities

Lead, coach and develop a team of Data Engineers and Technology Specialists, including hiring, performance management, succession planning and career development.
Provide technical leadership across the design, development, implementation and ongoing support of data engineering solutions.
Lead delivery of key engineering initiatives supporting the Canadian Personal Banking technology roadmap.
Drive engineering best practices, including automation across build, test, release and configuration activities.
Partner with Technology, Operations and business teams to identify opportunities, resolve complex issues and deliver solutions that meet business needs.
Provide technical guidance to ensure solutions align with technology strategies, enterprise standards and industry practices.
Manage resources, priorities, project milestones and delivery risks to keep work on schedule and aligned with established plans.
Build strong relationships with stakeholders and provide clear updates and recommendations to senior and executive leaders.
Stay current on emerging technologies, engineering trends and relevant regulatory requirements, assessing their potential impact.
Foster an inclusive, collaborative and continuous-learning environment that encourages knowledge sharing and innovation.

Experience

7+ years of relevant technology and engineering experience.
Experience leading and developing engineering or technology teams.
Strong data engineering background with hands-on expertise in PySpark, Python and SQL.
Experience designing and delivering ETL/data pipelines using Azure Databricks.
Strong understanding of engineering practices, frameworks, tools and development processes.
Experience leading complex technology initiatives and working across business and technology teams.
Strong stakeholder management skills, including experience communicating technical concepts and recommendations to senior leaders.
University or post-graduate degree, preferably in Computer Science, Engineering or a related discipline.
Strong understanding of personal banking products and the Canadian banking environment.
Experience delivering large-scale data or technology solutions in a financial services environment.
Experience driving engineering automation and continuous improvement.
Experience working with technology vendors and evaluating new tools, frameworks and approaches.

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

Lead and develop a team of data engineers while providing technical leadership for the design and implementation of data engineering solutions. Manage project milestones, delivery risks, and stakeholder relationships to ensure alignment with the Canadian Personal Banking technology roadmap.

Requirements

Requires 7+ years of relevant technology and engineering experience with a strong background in data engineering and team leadership. Candidates must possess hands-on expertise in PySpark, Python, SQL, and Azure Databricks, along with a relevant university degree.

Skills

Data engineering
People leadership
PySpark
Python
SQL
Azure Databricks
ETL
Data pipelines
Engineering automation
Stakeholder management
Performance management
Technical leadership
Project management
Strategic planning
Financial services
Personal banking

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 Engineering
Engineering Management
PySpark
Python
SQL
Azure Databricks
ETL
Data Pipelines
Automation
Financial Services
Personal Banking
Technology Roadmap
Stakeholder Management
Performance Management
Cloud Computing
Data Platform
Software Development
Engineering Best Practices
Continuous Improvement
Regulatory Requirements

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