Data Designer III

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Toronto, Ontario, Canada

37.5 hours per week

Technology Solutions

$91,200 - $136,800 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  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 on 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.

This role focuses on data design and data engineering.

• Solid background in data engineering or programming field, expected to own end-to-end issues while working closely with Data Engineer.
• Hands on data development work: data profiling, data pipeline development, data load.
• Summarize and communicate issues/updates simply while retaining technical depth for deeper troubleshooting.
• Act as the POD owner delegate, provide overall POD leadership, refine backlog items and assign issues to POD members when required.
• Effective communication upstream and downstream with data providers and business requirement stakeholders.
• Understanding of existing TD data infrastructure would be considered an asset.

• Lead on complex analysis in an evolving data environment.
• Gather, analyze, document and maintain all data requirements related to business applications, interfaces, and reporting environments in different kinds of data maps.
• Apply standards and best practices to ensure 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.
• Advise 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, aligning with TD's Enterprise standards.
• Provide thought leadership and insights on emerging data information management solutions and/or frameworks.
• Ensure 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 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 aligned with risk appetite.

• 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 intended outcomes during warranty period.
• Coordinate business requirements with technical teams, 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 data architectures meet operational and business objectives.
• Raise and manage change requests with business stakeholders, supporting release management processes and timely delivery.
• Lead initiatives on data governance and data management by ensuring business requirements align with enterprise data governance policies.
• Ensure business metadata and data lineage are well-documented and integrated with enterprise metadata management tools.
• Adhere and promote best practices for data security, protecting technical and business aspects from vulnerabilities.
• Document business requirements and technical decisions, communicating risks, lessons learned, enhancement opportunities across teams.
• Safeguard the organization’s interests, identifying and managing business risks, ensuring compliance with internal policies and regulatory guidelines.
• Stay current on industry trends, improving collaboration between business and technology teams.
• Enable cross-functional collaboration, sharing knowledge and best practices to enhance overall project success.

• Participate fully as a member of the team, support a positive work…