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Data Designer III

Job in Toronto, Ontario, C6A, Canada
Listing for: TD Bank
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 91200 - 136800 CAD Yearly CAD 91200.00 136800.00 YEAR
Job Description & How to Apply Below
page for more information.
*
* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Technology Solutions
** Pay Details:**$91,200 - $136,800 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  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:

**** KEY QUALIFICATIONS
*** Successful candidate for the role should have a solid background in data engineering or programming field, as this role is expected to own the issues in an end-to-end fashion while working closely with Data Engineer to resolve issues.
* Ability to be hands on with data development work, including but not limited to data profiling to identify correct data elements, development of data pipelines, perform data load.
* Ability to summarize and communicate issues/updates in simple and summarized view while maintaining the technical depth to drill down individual issues when asked.
* Act as the POD owner delegate to provide overall POD leadership, refine backlog items and assign issues to POD member when required .
* Able to communicate effectively both upstream and downstream to both data providers and business requirement stakeholders.
* Understanding of existing TD data infrastructure would be considered an asset.
** CUSTOMER
* ** Lead on complex analysis in an evolving data environment
* Gather, analyze, document and maintain all data requirements related to the business applications, interfaces, and reporting environments in different kinds of data maps
* Apply standards and best practices to ensure that the application’s data is accurate, complete, current, understandable, and accessible
* Work with data owners to define and manage data dictionary / catalog for respective data platforms, systems / servers / applications
* Flow to advice on efforts of data modelers, data warehouse/data integration developers, and data management process in data lakes, database usage and data warehousing
* Adopt, maintain and enhance Enterprise Data Governance related policies, in alignment with TD's Enterprise standards
* Provide thought leadership and insights on emerging data information management solutions and/or frameworks
* Ensure respective programs / policies / practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
* Provide leadership in cross-functional / enterprise  initiatives as a top expert, helping to identify risk / provide guidance for complex situations across multiple domains
* Keep updated on emerging issues, trends, and evolving regulatory requirements and assess potential impacts
* Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
** SHAREHOLDER
* ** Collaborate with technology and business teams  to ensure alignment and guide successful delivery of data solutions.
* Facilitate data analysis and investigations for business users and QA teams, assisting with complex issues and validating business cases during development and testing phases
* Provide oversight on business impact post-implementation, ensuring the data solution meets the intended business outcomes during the warranty period.
* Coordinate business requirements with technical teams with an oversight of ensuring smooth integration of data into source code repositories and promoting effective source code management practices.
* Lead or participate in business and technical design reviews, ensuring that data architectures meet both operational and business objectives.
* Raise and manage change requests in…
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