About
The successful candidate will provide technical leadership, collaborate with business and technical stakeholders, and guide the end-to-end delivery of the enterprise data platform.
Requirements Key Responsibilities
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Architect and implement Azure-native Enterprise Data Lakehouse and Data Warehouse solutions.
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Design scalable ETL/ELT pipelines using tools such as Apache Spark .
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Develop and maintain data models, governance frameworks, and security standards in Microsoft Fabric.
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Collaborate with business stakeholders to translate requirements into architectural blueprints and solution designs.
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Guide the migration of legacy reporting systems to cloud-based infrastructure.
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Lead architectural decisions ensuring scalability, maintainability, and compliance with best practices.
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Produce detailed technical documentation , architecture diagrams, and solution artifacts.
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Oversee knowledge transfer , training, and documentation for internal teams.
Mandatory:
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12+ years of progressive experience as a Solution Architect or Senior Data Engineer , with proven expertise in Data Lakehouse architecture .
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Strong hands-on experience with Microsoft Azure Cloud , Microsoft Fabric , and related tools.
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Proficiency in .NET Framework , Power BI , and data governance frameworks .
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Deep understanding of data modeling, metadata management, and data security .
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Excellent communication and stakeholder management skills.
Preferred:
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Microsoft Azure Data Engineer Associate (DP-203) certification or equivalent.
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Experience working within public sector or safety organizations .
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Strong problem-solving skills and ability to mentor teams.
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Work Location: Hybrid (3 days onsite, 2 days remote per week) — Toronto, ON.
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Hours: 35 hours per week (7 hours per day).
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Contract Term: 12 months, with an option to extend for an additional 12 months.
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Security Clearance: Successful candidates must complete a security background check prior to onboarding.
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Start Date: January 2026 (subject to background check completion).
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End Date: December 2026 , with possible extension.
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Deadline for Submission: November 17, 2025, 1:00 PM (Local Time) .
Languages
- English
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