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Retail, Office Supplies, E-commerce

Data Design Lead

Richmond Hill, Ontario, CanadaHybridFull TimePosted 1 month ago

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Some of what you will do:

We are seeking a hands-on Data Design Lead with strong technical skills in data governance implementation, data modelling, SQL/NoSQL databases, and cloud data platforms. This role partners closely with Data Engineers, BI teams, and business stakeholders to ensure high-quality, well-governed data is available for reporting, analytics, and operational use across Staples Canada’s retail and e-commerce systems.

The successful candidate will design robust data models, implement governance processes, define and enforce data standards, improve data reliability, and support GCP-based analytical solutions.

Specifically, You Will:

  • Design and maintain conceptual, logical, and physical data models to support retail analytic workloads.
  • Partner with analytics teams to expose clean, accurate, governed datasets in BigQuery, Power BI, and Looker.
  • Work daily with data engineers to ensure data pipelines meet governance, quality, and modelling standards.
  • Contribute to the design of ETL/ELT pipelines for onboarding new datasets.
  • Support architecture/design reviews for new data integrations and Power BI semantic models as required.
  • Continuously improve modelling practices, governance processes, and data reliability.

Some of what you need:

  • Bachelor’s degree in Information Technology, Computer Science, Data Management, or related field.
  • 7 + years in data management, data modelling, data governance, or data engineering support roles.
  • Experience working in a retail or e-commerce environment is strongly preferred.
  • Strong SQL expertise across RDBMS (MS SQL Server, BigQuery) and exposure to NoSQL environments.
  • Hands-on experience with dimensional modelling, analytical modelling, and retail data structures.
  • Working knowledge of GCP data products (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataplex, etc.).
  • Understanding of ETL/ELT concepts and pipeline design.
  • Familiarity with BI tools: Power BI, Looker.
  • Experience with data governance or data quality tools and principles.
  • Strong understanding of retail and e-commerce data flows and KPIs.

Physical demands/working conditions:

  • Office environment – Hybrid, with 4 days onsite in Richmond Hill, subject to the hybrid policy.
  • Some travel may be required

Some of what you will get:

  • Associate discount
  • Health and Dental benefits
  • RRSP/DPSP
  • Performance bonuses
  • Learning & Development programs
  • And more...

We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes all final decisions. This posting is for an existing vacancy.

Ready to apply?
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