Data Engineer, Lead
- Employer
- University of Toronto
- Location
- St. George (Downtown Toronto)
View more categoriesView less categories
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Job Details
Date Posted: 11/04/2026
Req ID: 50908
Faculty/Division: Institutional Research and Data Governance
Department: Institutional Research and Data Governance
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes
Description:
The University’s Institutional Research and Data Governance (IRDG) office was formally launched in 2020. In addition to providing leadership and administrative support for the institution’s data strategy, the IRDG office’s mandate is to:
• provide data, 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 data sets
• implement an institution-wide Data Governance program to support the University in strategically harnessing data to achieve institutional goals
• support external reporting of institutional data (SMA metrics, key performance indicators for governance, international rankings, data exchanges with peer institutions)
Under the general direction of the Assistant Director, Business Intelligence & Data Engineering, the Data Engineering Lead will deliver and manage institutional data pipelines to support the analytics needs of the University of Toronto. This role will translate requirements into operable solutions that align with the overall data architecture, implement and test data pipelines, while delivering documentation, support, and maintenance to users. Ongoing oversight and change management of pipelines will be managed as part of this service, while integrating the appropriate governance approaches and best practices.
The role will help implement new tools and technologies as the University undergoes its platform migration from on-premise to a cloud-based platform. The Lead will not only oversee development processes for institutional data sets but will support teams across the University as we onboard them to the new platform. This role will also track the performance of our resources and related capabilities, while seeking to evolve and scale this service based on the needs of the University.
The role will require general analysis skills, working with clients across shared services and academic divisions including the Compensation and Labour Relations units in Human Resources, Research Services, Enrolment Services, and University Relations to determine information requirements; developing ETL programs for analytics initiatives, leading small projects; and providing technical leadership for data engineering solutions.
The Lead must keep abreast of current tools/technologies including Informatica, SQL Service, Azure Data Factory, Databricks, Azure Databricks etc. The Lead will also have knowledge regarding data architecture, data modeling and data warehouse design. The incumbent will proactively gather material from appropriate web sites, technical publications, white papers, etc. of interest to the department. The incumbent will provide the “hands-on” technical expertise required to implement and maintain data pipeline solutions. Although this expertise is primarily related to ETL, it is not limited to these technologies, and may extend to other development tool sets.
Qualifications Required:
EDUCATION:
Undergraduate degree in computer science or an equivalent combination of education and experience.
EXPERIENCE:
Minimum five (5) years’ experience in database engineering. Experience in managing large scale data warehouse environments. Demonstrable understanding of analysis and design methodologies using appropriate tools. Minimum two (2) years’ experience developing data engineering pipelines. Direct experience with Informatica and Microsoft Azure Platform is highly desirable. Experience in machine learning desirable.
SKILLS:
Proficiency with ETL tools including Informatica; Familiarity with Microsoft Azure Knowledge of AMS systems: FIS and HRIS; Knowledge of student system: ROSI
Expert knowledge of MS Excel.
OTHER:
Excellent writing, communication and presentation skills; Strong analytical, problem-solving and interpersonal skills; Understanding of University financial and enrolment matters; Ability to work to strict deadlines and pressure situations; Commitment to diversity and equity.
NOTE: This position is 70% onsite.
Closing Date: 11/25/2026, 11:59PM ET
Employee Group: Salaried
Personnel Subarea:PM
Appointment Type: Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: PM 3 -- Hiring Zone: $97,336 - $113,558 -- Broadband Salary Range: $97,336 - $162,224
Job Category: Information Technology (IT)
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.
Indigenous Substantiation Process
The University of Toronto has implemented a process to substantiate Indigenous Membership/Citizenship/Enrolment for candidates who identify as Indigenous. For more information about this process, please refer to the Indigenous Substantiation Website.
Job Segment: Data Architect, Data Modeler, Computer Science, Data Warehouse, Database, Data, Technology
Organization
Established in 1827, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. U of T's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world.
U of T is committed to providing a learning experience that benefits from both a scale almost unparalleled in North America and from the close-knit learning communities made possible through its college system and academic divisions. Located in and around Toronto, one of the world's most diverse regions, U of T's vibrant academic life is defined by a unique degree of cultural diversity in its learning community.The University is sustained environmentally by three green campuses, where renowned heritage buildings stand beside award-winning innovations in architectural design.
U of T is one of Canada’s Top 100 Employers.
U of T is one of Canada's Best Diversity Employers.
Are you looking for a challenging, meaningful career in a supportive and diverse environment?
Work where the world comes to think.
Work where the world comes to discover.
Work where the world comes to learn.
Opportunities exist for people from a wide range of backgrounds, ranging from recent graduates to experienced senior professionals.
We offer challenging work within an open environment that celebrates diversity in all its forms. Our focus is on creating a positive work environment that attracts and retains excellent employees through a combination of competitive compensation, favourable working conditions, opportunities for career growth and development and a unique organizational culture.
Employees have access to:
- Excellent health and dental benefits;
- On-site support for training and career development;
- Flexible work arrangements;
- Childcare subsidy;
- Tuition waivers;
- Scholarships and/or tuition waivers for dependants;
- Generous paid time off;
- Support on equity and diversity issues;
- On-site child care;
- University Pension Plan;
- Subsidized athletic facility membership;
- World-renowned libraries;
- Confidential counselling services;
- Parking and TTC Metropasses;
- Employee and Family Assistance Plan;
- Continued health benefits for pensioners.
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