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:
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.
KEY ACCOUNTABILITIES:
Monitoring and supporting production data pipelines, workflows, and platform operations.
Troubleshooting Databricks jobs, notebooks, clusters, and data processing issues.
Performing data quality investigations, reconciliations, and root cause analysis.
Managing production incidents, defects, and operational issues through resolution.
Supporting production deployments, PAT validation, release activities, and post-deployment validation.
Partnering with DevOps, Infrastructure, and Production Support teams to ensure platform stability and service reliability.
Developing operational runbooks, monitoring processes, and support documentation.
Driving continuous improvement initiatives to enhance system performance, resiliency, and supportability.
CUSTOMER
- Perform data analysis and assess data management requirements for a specific Platform or Journey.
- Maintain foundational 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 technical design and development details to non-technical business partners
- Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers, 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 data models using industry standard modeling tools
- Develop and maintain ETL jobs using the Bank's standard tools
- Provide support to the development and testing teams to resolve data issues
- Support partners and stakeholders in interpreting and analyzing data
- Build effective working relationships to collaborate with peers and partners on personal deliverables
- Provide data governance and availability support
SHAREHOLDER
- Coordinate with technology work teams such as ITS, ARE, etc. to ensure overall delivery success
- Support the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing
- Provide post implementation support to the production support team during the warranty period
- Execute 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 an active participant in the design & architecture reviews of the application
- Raise service-now requests and work with the change management team to support release management activities
- Understand 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 to standard security coding practices to ensure application is free of most common coding vulnerabilities
- Ensure privacy, security, governance, and access controls are properly adhered to
- Ensure technical decisions, technical risks and lessons learned are 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
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
- Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit; Support knowledge-sharing across teams and with relevant stakeholders, ensuring knowledge is codified, monitored, tracked and managed
- Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality
- Work collaboratively with the data engineering team to define and validate appropriate user stories, acceptance criteria and definitions of done / ready
- 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
- Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
- 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
- Foundational knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
- Performs moderately complex technical tasks independently
- Performs complex technical tasks under general supervision
- Foundational 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 routine problems; contributes to new patterns where necessary
- 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
2-3 years of relevant experience
Databricks / Spark
Azure Data Platform (ADLS, ADF, Azure SQL)
Python / Pyspark
CI/CD and DevOps practices
Dynatrace
Stakeholder communication
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
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 benefits and discounts, career development, and reward and recognition programs. Learn more
Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development
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.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. 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.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. 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.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans Objet
