Data Solutions Architect

Date Posted: 01/05/2026
Req : 46528
Faculty/Division: Operations and Real Estate Partnerships
Department: Institutional Research and Data Governance
Campus: St. George (Downtown Toronto)
Position Number:

Description:

About us :


The University’s Institutional Research and Data Governance (IRDG) office provides leadership and administrative support for the institution’s data strategy. The IRDG office’s mandate is to:

• Provide reporting and analytics services within our distributed institutional research model: lead institution-wide analysis projects, provide training opportunities for divisional analysts, implement new analytics tools and platforms, and improve access to curated institutional datasets.
• Support external reporting of institutional data (SMA metrics, key performance indicators for governance, international rankings, data exchanges with peer institutions).
• Implement an institution-wide data governance program to support the University in strategically harnessing data to achieve institutional goals.
• Provide leadership and administrative support for the institution’s data strategy.

Your opportunity:


Under the direct supervision of the Manager of Data Engineering and Business Intelligence, the incumbent will work closely with team members, Central IT, and a wide range of stakeholder groups. This role will play a key part in shaping and executing an ongoing data roadmap that anticipates future growth, strengthens the University’s data security posture, enhances data assets, and elevates the strategic profile of IRDG and the broader institution.

The Data Solutions Architect will lead data-related initiatives, design scalable technology solutions, and establish improve data architecture and usability. Key responsibilities will also include designing efficient and maintainable data models, cleaning and optimizing existing data structures, architecting end-to-end data solutions, cataloguing data assets, and implementing governance practices to ensure consistency, accessibility, and long-term value. The Data Solutions Architect will lead our modernization journey across the Microsoft Fabric ecosystem and shaping our future state data environment.

They will colead architecture committees to define standards, governance, and scalable design practices across the organization. In addition, this role will drive the implementation of AI solutions within IRDG aligned with the university AI framework, enabling adoption, and ensuring responsible, value driven integration into our analytics and operational workflows.


Your responsibilities will include:

• Developing and updating architectural framework for highly complex and confidential university-wide IT systems. Including creating, designing, reviewing, and evolving data models and data roadmaps, as well as guiding implementation to meet both current requirements and future business needs.
• Researching, analyzing and recommending potential changes to system features. Including initiatives for data classification, archiving, and access control to ensure data security, compliance, and efficient lifecycle management across the enterprise data warehouse.
• Analyzing business and operational requirements to plan the implementation of new systems. Including the cleanup and organization of the existing data warehouse by refining tables, views, and processes to improve system performance, data quality, and operational efficiency.
• Keeping well-informed on current technologies, best practices, industry standards and develop the architecture of a robust, scalable, secure, and sustainable framework to maximize integration opportunities across all different platforms.
• Planning the implementation of new business system processes including developing and sustaining data governance policies, and standards to ensure data access, accuracy, traceability, classification, compliance, integrity, and security.
• Leading and planning IT projects, including navigating the maturity of our MS fabric environment to ensure it meets current needs while scaling for future use cases
• Advise clients and technical subject matter experts on best practices for documenting system requirements, while analyzing…