Fabric Platform Lead & Enterprise Data Architect

Socket.dev

Mississauga

On-site

CAD 182,000 - 193,000

Full time

2 days ago

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Benefits offered by this job

Health benefits

Employee discount on coffee/tea

Tuition assistance program

Job summary

Mother Parkers Tea & Coffee is seeking a Data Architect & Fabric Platform Lead to define and govern the enterprise data architecture and Microsoft Fabric platform. You will lead data engineering, platform modernization, governance, and solution design to deliver scalable, secure data foundations for reporting, analytics, AI, and business decisions.

You will guide the evolution of the Fabric ecosystem, set enterprise architecture standards, drive modernization, and mentor technical resources

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Engineering, Information Systems, or related discipline.
7+ years of experience in Data Architecture, Data Engineering, Data Warehousing, BI, or related disciplines.
2-3 years as a Data Architect, Technical Lead, or Senior Data Engineering Lead.
Proven experience designing and implementing enterprise-scale cloud data platforms.
Experience leading architecture initiatives and technical teams.
Experience with Agile/Scrum/Kanban/hybrid delivery.
Experience in CPG, Manufacturing, or ERP environments preferred.
Expert knowledge of Microsoft Fabric, OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks, Semantic Models, and modern cloud data platforms.
Strong knowledge of Medallion Architecture, Data Warehousing, and cloud-native data patterns.
Proficiency in T-SQL, SSIS/DTS, relational databases, and enterprise data modeling.
Hands-on experience with Python, Spark/PySpark, REST APIs, and modern data engineering practices.
Experience designing scalable data ingestion frameworks for structured, semi-structured data.
Strong data governance, data quality, metadata management, security, and lineage principles.

Responsibilities

Own the enterprise data architecture roadmap and Fabric platform strategy.
Translate business requirements into scalable target-state architectures and roadmaps.
Design and govern OneLake, Lakehouse, Data Warehouse, Medallion Architecture, Data Pipelines, and semantic models.
Architect and support enterprise data platforms for reporting, analytics, automation, and AI.
Design and govern ingestion frameworks for batch, delta, and real-time integrations.
Optimize data pipelines and performance with modern engineering practices.
Define CI/CD, deployment automation, source control, and environment management using Azure DevOps.
Establish data engineering standards, reusable frameworks, and governance processes.
Define standards for data quality, security, metadata, lineage, and lifecycle management.
Manage Fabric and Azure platform utilization, capacity, monitoring, and cost optimization.
Support governance, cybersecurity, compliance, and enterprise architecture initiatives.
Define AI-ready data architectures for ML, GenAI, Copilot, and enterprise AI.
Provide architecture guidance for AI and data science workloads with scalability and governance.
Lead architecture reviews, design reviews, and mentoring across data teams.
Collaborate with business stakeholders to align with enterprise standards and objectives.
Evaluate emerging technologies to improve scalability, governance, automation, and business value.
Drive modernization, migrations and optimization of legacy BI and data integrations to Fabric.