Technology Solutions Pay Details: $125,500 - $154,000 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. 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.

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions like building feeds for Capital Reporting as well as infrastructure like adjustment frameworks. CUSTOMER Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata Support the acquisition and ingestion of data Articulate complex, large scale, and high impact technical design and development details to non-technical business partners Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines Develop and maintain complex data models using industry standard modeling tools Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues Support partners and stakeholders in interpreting and analyzing data Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing Provide oversight on post implementation activities during the warranty period Work closely with ITS/ ARE teams to support code packaging and deployment (CI & CD) into higher environments Raise service-now requests and work with the change management team to support release management activities Lead data engineering initiatives and capabilities,



data governance principles and how they apply across the organization Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Adhere and contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities Ensure technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented Protect the interests of the organization – identify and manage risks, and elevate non-standard, high-risk activities as necessary Adhere to internal policies/procedures and applicable regulatory guidelines Keep current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques Enable team members by sharing knowledge and leveraging engineering best practices. Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest Provide thought leadership and/or industry knowledge for Data engineering best practices and participate in knowledge transfer within the team and business unit Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques Participate in personal performance management and development activities, including cross training within own team Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices.

Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures,



including how they impact and integrate with other technology areas such as Architecture or Infrastructure Performs highly complex technical tasks independently Expert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g.

Computer

Science, Engineering), or equivalent practical experience ~ Graduate Degree nice to have ~TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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 perks and discounts, career development, and reward and recognition programs. 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. 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.

We do our best to communicate outcomes to all applicants by email or phone call. 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.

Language

Requirement (Quebec only)

📌 Remote Senior Data Engineer (Python, SQL) (Ottawa)
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📍 Ottawa