Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Technology Solutions
Pay Details:
$81,600 - $115,200 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:
The team owns the operational frameworks that power TD's Rahona big data platform — high-scale ingestion, orchestration, and data retention systems that thousands of jobs depend on daily. We ship to production on a biweekly cadence and are actively building TD's agentic (AI-driven) data-engineering capability. If you want to write real code, own real systems, and work at the edge of where AI meets data engineering, this is the team.
The role involves providing 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.
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
Develop and maintain complex ETL jobs and frameworks using the Bank's standard 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
Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
SHAREHOLDER
Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
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
Execute & approve code check-in/ check-out into source code repository as part of source code management
Work closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments
Be the lead participant in the design & architecture reviews or the application
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 & 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 escalate 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.
EMPLOYEE / TEAM
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.
Supports the team by providing guidance and proactively identifying and resolving issues
Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
Contribute to a fair, positive and equitable environment that supports a diverse workforce
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
BREADTH & DEPTH
Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure
Performs complex technical tasks independently
Advanced 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
Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary
May be recognized as a subject matter expert in areas directly related to key accountabilities
Generally reports to a Practice Lead
EXPERIENCE AND / OR EDUCATION
Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
3-5 years of relevant experience
Language Requirement (Quebec only):
Sans Objet
