njoyn
Data Modeller
CGI
Toronto, CAN
Full-time
Senior · 8+ years experience
Hybrid
CAD 95000-145000 yearly / year
Discovered 3 weeks ago
MongoDBAzure DatabricksDelta LakeSQLUnity CatalogPySpark
Free
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MongoDBAzure DatabricksDelta Lake
Key Skills for This Role
MongoDBAzure DatabricksDelta LakeSQLUnity CatalogPySpark
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Position Description:
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.
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