Data Designer I

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $69,700 - $98,400 CAD This role is eligible for a discretionary variable compensation award that considers business and individual performance. 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: Data Design and Quality Engineering, owning Data Lineage/Analysis and DQ validation delivery/test case management/ and documentations, improving coordination with business and technology partners for TD Data and ensuring deliverables continue to meet compliance expectations and committed timelines. Develop and promote data models using industry standard modeling tools Assess business requirements by researching / analyzing and documenting business data requirements Define, build and manage data dictionary / catalog for respective data platforms, systems / servers /applications Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Run quality assurance reports and resolve data integrity issues to ensure accurate reporting and data records Gather, review, analyze, profile, validate, and map system data into the prototyping solution for further integration within data warehouse. Ensure reporting and analytical business needs are met Develop solutions and recommendations for improving data quality and data integrity issues. Analyze data issues and work with development teams to resolve issues Understand data initiatives and capabilities, data governance principles and how they apply to the business segment Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines Contribute to various data activities and processes as assigned Be knowledgeable of practices and procedures within own area of responsibility and keep updated on emerging trends for own functional area Protect the interests of the organization – identify and manage risks, and escalate non-standard, high risk activities as necessary Participate in and help implement continuous process / improvements Identify, recommend and effectively execute standard practices applicable to the discipline Adhere to internal policies/procedures and applicable regulatory guidelines 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 successful delivery of data solutions. Facilitate data analysis and investigations for business users and QA teams, assisting with data issues and validating business cases during development and testing phases Provide support 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 a goal of ensuring smooth integration of data into source code repositories and promoting effective source code management practices. Be an active participant of business and technical design reviews, ensuring that data architectures meet both operational and business objectives. Raise and manage c