Work Location:Toronto, Ontario, Canada
Hours:37.5
Line of Business:Technology Solutions
Pay Details:$105,100 - $129,400 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
Job Description:Department OverviewTD 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 DescriptionTDS Payments Technology team is looking for a Full-time
Senior Data Modeller / Data Product Designer - Enterprise PaymentsEnterprise Payments is seeking a
Senior Data Modeller / Data Product Designer to 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 on
schema design, data product design, and context-layer modelling. The successful candidate will help define how Payments data is represented, governed, reused, and consumed across operational and analytical platforms.
The role is approximately
75% data modelling / data product design and
25% data engineering enablement, working closely with business analysts, data engineers, analytics teams, architects, and Payments partners.
The ideal candidate can bridge
semi-structured JSON/MongoDB modelling,
Databricks/Delta schema design, and
reusable domain-oriented data products. The team will provide training on
ISO 20022 payment schema relationships, which will be used to help build a Payments context layer across payment types.
Key Responsibilities - Design JSON schemas for MongoDB-based transactional ODS capabilities, aligned to business workflows, query patterns, and schema evolution needs.
- Design corresponding Databricks/Delta table schemas for curated, reusable data products.
- Define reusable Payments data products across individual payment types and combined cross-payment views.
- Design a context layer / canonical Payments model that 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 to Unity Catalog structures, 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, and appropriate documentation.
- Work with business and technology partners to ensure data products are understandable, reusable, and fit for consumption.
Qualifications & SkillsMust Have Skills:- 8+ years of experience in data modelling across operational and analytical platforms.
- Strong experience designing JSON / semi-structured schemas, preferably for MongoDB or similar document databases.
- Strong experience designing SQL / analytical schemas for data platforms, warehouses, or lakehouses.
- 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.
- Ability to work closely with BSAs, engineers, architects, and business stakeholders.
- Excellent communication, documentation, analytical thinking, and problem-solving skills.
Good To Have Skills: - Payments domain knowledge.
- Awareness of ISO 20022 Payments schemas 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 with PySpark, 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.
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