Senior Data Modeller / Data Product Designer — Enterprise Payments
TD Bank · Toronto, Canada · 15d ago
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Technology SolutionsPay Details:
$105,100 - $129,400 CADThis 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:
Department Overview
TD Securities provides a wide range of capital market products and services to corporate, government and institutional clients who choose us for our knowledge and experience in six key areas of finance: Investment Banking, Debt Capital Markets, Institutional Equities, Private Equity, Precious Metals and Foreign Exchange & Money Market. Our services include the underwriting and distribution of new debt and equity issues, providing advice on strategic acquisitions and divestitures, and executing daily trading and investment needs.
With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions.
We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.
Job Description
TDS Payments Technology team is looking for a Full-time Senior DataModeller/ Data Product Designer — Enterprise Payments
Enterprise Payments is seeking aSenior DataModeller/ Data Product Designerto design end-to-end data structures across our Payments data ecosystem — from MongoDB-based transactional Operational Data Stores (ODS) through to Azure Databricks curated data products.
This role is focused onschema design, data product design, and context-layermodelling. The successful candidate will help define howPaymentsdata is represented, governed, reused, and consumed across operational and analytical platforms.
The role is approximately75% data modelling / data product designand25% data engineering enablement, working closely with business analysts, data engineers, analytics teams, architects, and Payments partners.
The ideal candidate can bridgesemi-structured JSON/MongoDB modelling,Databricks/Delta schema design, andreusable domain-oriented data products. The team will provide training onISO 20022 payment schema relationships, which will be used to help build a Payments context layer across payment types.
Key Responsibilities
DesignJSON schemasfor MongoDB-based transactional ODS capabilities, aligned to business workflows, query patterns, and schema evolution needs.
Design correspondingDatabricks/Delta table schemasfor curated, reusable data products.
Define reusablePaymentsdata products across individual payment types and combined cross-payment views.
Design acontext layer /canonicalPayments modelthat supports cross-product analytics, reporting, and downstream consumption.
Translate business requirements into logical and physical data models for both operational and analytical use cases.
Support schema evolution, versioning, migration, and backward compatibility across MongoDB and Databricks.
Design data products aligned toUnity Catalogstructures, access patterns, discoverability, and governed sharing.
Differentiate between source-aligned, domain-aligned, and consumer-aligned data products.
Collaborate with data engineering teams to operationalize models through ingestion, curation, and transformation pipelines.
Support governance expectations including metadata, data quality, lineage, access controls, andappropriate documentation.
Work with business and technology partners to ensure data products are understandable, reusable, and fit for consumption.
Qualifications & Skills
Must Have Skills:
8+ years of experience in data modelling across operational and analytical platforms.
Strong experience designingJSON / semi-structured schemas, preferably for MongoDB or similar document databases.
Strong experience designingSQL / analytical schemasfor data platforms, warehouses, orlakehouses.
Experience translating business workflows and query patterns into durable, scalable schema designs.
Experience with schema evolution, versioning, backward compatibility, and migration strategies.
Experience designing reusable datasets or data products for analytics, reporting, APIs, or downstream consumers.
Strong understanding of data product concepts, including usability, reuse, ownership, documentation, and consumer alignment.
Working knowledge of Databricks / Delta Lake schema design, including partitioning and performance considerations.
Familiarity with Unity Catalog or equivalent governed catalog / metadata structures.
Strong SQL skills.
Ability to work closely with BSAs, engineers, architects, and business stakeholders.
Excellent communication, documentation, analytical thinking, and problem-solving skills.
Good To Have Skills:
Paymentsdomain knowledge.
Awareness of ISO 20022Paymentsschemas and relationship structures.
Experience designing canonical data models or context layers across multiple source systems.
Experience with MongoDB indexing, sharding, performance tuning, or MongoDB Atlas.
Experience withPySpark, Spark SQL, Delta Lake optimization, and Databricks performance patterns.
Experience with Azure Databricks, Azure Data Factory, Azure Synapse, or similar cloud data services.
Experience with Kafka, event schemas, schema registry, or streaming data patterns.
Familiarity with data governance processes such as privacy impact assessments, data access controls, metadata standards, lineage, and regulated-environment audit expectations.
Experience with Collibra or similar catalog / data governance tooling.
Additional Information :
Join in on what others in TD Technology Solutions are doing:
Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
Learn voraciously, stretch your thinking, share your knowledge and educate others.
Communicate and collaborate with both technical and non-technical professionals.
Cultivate winning relationships by building trust with business and technology partners.
Share our commitment to productivity, effectiveness and operational efficiency.
#LI-Tech
Who We Are:
TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.
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