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Job Description & How to Apply Below
This range is provided by Dayforce. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
CA $93,500.00/yr - CA$/yr
Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.
Our award‑winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.
Effective November 1, 2025 this position is not open to residents of Quebec ; applicants must reside in a province or territory of Canada other than Quebec to be considered. Any roles available in Quebec will be posted separately.
About The Opportunity
We are seeking a strategic and hands‑on Senior Data Architect to design, optimize, and scale our enterprise data architecture s role will lead the design and governance of the data ecosystem—spanning integrations, modeling, storage, and engineering—within the Enterprise Data Center of Excellence. The Senior Data Architect will collaborate across technology and business functions to enable a data‑driven culture and accelerate our cloud transformation.
This is a high‑impact role within a fast‑evolving, global organization. The ideal candidate is an experienced architect with strong consultative skills, a passion for innovation, and a proven ability to guide enterprises through modernization—from on‑premise to cloud‑native data platforms.
This position reports to the Sr. Director, Enterprise Data and AI Platform.
What You'll Get To Do
Enterprise Data Architecture & Strategy
Lead the design, development, and implementation of scalable enterprise data architectures.
Establish and enforce data modeling, integration, and engineering standards across the organization.
Partner with business and technical stakeholders to define the long‑term data strategy aligned with enterprise goals.
Conduct research on emerging technologies, tools, and industry trends to drive continuous innovation.
Data Platform Design & Engineering
Architect and manage modern data platforms—leveraging cloud‑native services for performance, reliability, and scalability.
Develop and optimize data models, schemas, and pipelines to support analytics, reporting, and AI/ML initiatives.
Oversee data integration patterns (batch, streaming, API‑led) to ensure consistent and accurate data flow.
Evaluate, recommend, and select platform components and tools for enterprise data management.
Governance, Quality & Performance
Define and implement data governance, quality, and security frameworks to ensure data integrity and compliance.
Monitor system performance and proactively optimize configurations, pipelines, and storage for efficiency.
Diagnose and resolve complex data performance, access, and consistency issues.
Collaboration & Enablement
Partner with Data Engineering, Analytics, and AI teams to enable data‑driven decision‑making.
Collaborate with cross‑functional teams to ensure data availability, protection, and alignment with business needs.
Participate in the Architecture review board process and present new data initiatives.
Contribute to knowledge sharing and mentoring within the Data & AI organization.
Skills And Experience We Value
Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s degree preferred).
7+ years of experience in data engineering, architecture, or data platform design roles.
Proven experience leading or architecting cloud data modernization initiatives.
Deep expertise across Azure Data Lake Storage (ADLS Gen2), Data Factory, Synapse, Microsoft Fabric, Databricks, Azure Machine Learning, and Azure AI Foundry. Proven experience provisioning, administering, and operating complex, large‑scale cloud data platforms.
Hands‑on experience with Azure Functions, Web Apps, Static Web Apps, Container Apps,…
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