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S I Systems in Toronto is hiring a Senior Data & BI Developer/Architect (10+ years) to modernize data architecture using Power BI, Microsoft Fabric, and Databricks. You will design end-to-end data pipelines, build scalable semantic models, and deliver enterprise analytics assets that meet performance, governance, and reliability standards.
This hands-on role requires strong SDLC discipline, collaboration with risk analysts, data engineers and architecture teams, and a focus on data quality,
Senior Data & BI Developer / Architect (10+ years) to modernize data architecture using Power BI, Microsoft Fabric, and Databricks- 41532
Location Address: Toronto- 3 days in-office (Potentially will increase to 4 in future)
In-office days: Wednesday, Thursday and Friday.
Contract Duration: 10/05/2026 to 06/04/2027 (Chance of Extension)
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Story Behind the Need
Business group: Business Banking Credit Risk (BBCR) – Data & Analytics
Project: Looking for a skilled Senior Data & Business Intelligence Developer/Architect to drive data initiatives in Business Banking Credit Risk (BBCR).
This role focuses on modernizing data architecture, boosting analytics, and developing scalable, cloud-native BI solutions using Power BI, Microsoft Fabric, and Databricks.
The ideal candidate has strong hands-on experience building end to end data pipelines, designing efficient data models, and developing analytical assets that meet enterprise standards for performance, governance, and reliability.
Reason: New role for a funded project.
Key Accountabilities
Must have skills:
Nice to have:
Education:
Best VS. Average Candidate:
This will be a technical role. Need hands on technical development expertise.
Looking for a Senior Data & BI Developer / Architect with previous experience with modernizing data architecture, boosting analytics, and developing scalable, cloud-native BI solutions using Power BI, Microsoft Fabric, and Databricks.
The ideal candidate has strong hands-on experience building end to end data pipelines, designing efficient data models, and developing analytical assets that meet enterprise standards for performance, governance, and reliability.
Candidate Review & Selection
Interview format: 2 rounds of interviews