This role is hybrid and requires you to be at a Client office (160 Front Street W, Toronto) at a minimum 4 days per week subject to change at any time.

We are seeking a Senior Data Modeller / Data Product Designer to join our Enterprise Payments team. This role will be responsible for designing end-to-end data structures across our Payments data ecosystem, from MongoDB-based operational data stores through to Azure Databricks curated data products.

The successful candidate will play a key role in defining how Payments data is modelled, governed, shared, and consumed across operational and analytical platforms. This position is ideal for someone who has deep expertise in data modelling and data product design and enjoys collaborating with business and technology partners to deliver scalable, reusable, and well-governed data solutions.

This role consists of approximately 75% data modelling and data product design and 25% data engineering enablement.

Your future duties and responsibilities

Design JSON schemas for MongoDB-based operational data stores, aligned with business processes, query patterns, and schema evolution requirements.
Design and maintain Databricks/Delta Lake schemas that support curated and reusable data products.
Develop reusable Payments data products across individual payment domains and enterprise-wide payment views.
Design and evolve a Payments context layer and canonical data model to support analytics, reporting, and downstream data consumption.
Translate business requirements into logical and physical data models for operational and analytical use cases.
Support schema versioning, migration strategies, backward compatibility, and ongoing model evolution.
Design data products aligned with governance standards, metadata requirements, discoverability, and access controls within Unity Catalog or similar platforms.
Define and differentiate source-aligned, domain-aligned, and consumer-aligned data products.
Collaborate with business analysts, architects, data engineers, and other stakeholders to operationalize data models through ingestion, transformation, and curation pipelines.
Support data governance initiatives including metadata management, data quality, lineage, documentation, and access management.
Create clear and comprehensive documentation to ensure data assets are reusable, understandable, and fit for purpose.

Required qualifications to be successful in this role





8+ years of experience in data modelling across operational and analytical environments.
Strong experience designing JSON and semi-structured data models, particularly within MongoDB or similar document-based databases.
Strong experience designing relational, analytical, or lakehouse schemas using SQL-based platforms.
Proven ability to translate business workflows, requirements, and query patterns into scalable, maintainable data models.
Experience supporting schema evolution, versioning, migration, and backward compatibility strategies.
Experience designing reusable datasets, data products, or data domains for analytics, reporting, APIs, or enterprise consumption.
Robust understanding of data product principles, including ownership, usability, discoverability, documentation, and consumer alignment.
Working knowledge of Databricks and Delta Lake schema design, including performance and partitioning considerations.
Familiarity with Unity Catalog or equivalent metadata and governance frameworks.
Advanced SQL skills.
Strong stakeholder management, communication, analytical thinking, and problem-solving abilities.
Experience collaborating with cross-functional teams including business stakeholders, business analysts, architects, and engineers.

Experience working within the Payments domain.
Familiarity with ISO 20022 payment messaging standards and schema structures.
Experience designing canonical data models or enterprise context layers spanning multiple source systems.
Knowledge of MongoDB indexing, sharding, performance tuning, and MongoDB Atlas.
Experience with PySpark, Spark SQL, Delta Lake optimization, and Databricks performance best practices.
Experience with Azure Databricks, Azure Data Factory, Azure Synapse, or similar cloud-based data platforms.
Understanding of event-driven architectures, Kafka, schema registries, and streaming data patterns.
Familiarity with data governance practices including metadata management, lineage, privacy requirements, audit controls, and regulated data environments.




Experience with Collibra or similar data catalog and governance tools.

"CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000–$145,000. This role is an existing vacancy."

#LI-AV1!

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace current opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.

📌 Data Modeller (Toronto)
🏢 CGI
📍 Toronto