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We are one of Canada’s outstanding comprehensive universities, where excellence and innovation thrive! Brock has been recognized as a Top Employer in Hamilton-Niagara for seven consecutive years. We have been ranked #3 as Canada’s Best Employers and top 10 as one of Canada’s Best Employers for Diversity. For 2025, Brock has been proudly recognized as one of Canada’s Top Employers for Company Culture, ranked seventh by Forbes in partnership with Statista. At Brock, you will find a welcoming, inclusive community and an exciting range of meaningful career opportunities.

Ignite new possibilities for your career. Break through at Brock.

Post End Date:

June 29, 2026 at 11:59 PM

This job advertisement is to fill an existing vacancy in the CUPE4207-1 (Employee Group)

Storage and Retrieval of Big Data (DASA 3P41 / ITIS 3P41)

Mondays 19:00-22:00

Course Summary

This course focuses on the design and construction of enterprise-level systems for the storage, retrieval, and integration of big data. Students will examine distributed database architectures, data extraction/transformation/loading (ETL), replication, and concurrency control. Key topics include NoSQL, object-oriented, and multimedia databases; advanced query languages; reduction of large datasets; and the use of industry-standard tools for data processing, visualization, and interpretation.

Compensation

Effective September 1, 2026 - $7,887.59 per half course (195 hours nominally)
Effective September 1, 2026 - $15,775.20 per full course (390 hours nominally)
Please note: Instructors who are employed in a 2-hour/week lecture, or the equivalent of a 2-hour/week lecture, are responsible for the first hour of seminar/lab in each course.

Duties

Duties and responsibilities will be in accordance with Article 22.01 of the Collective Agreement. These include scheduled contact time with students and non-classroom time (preparation of lectures, student consultation, marking and grading and course administration, including grade appeals and cases of academic dishonesty).

Minimum Qualifications

A Master’s degree (or higher) in one of the following fields:

Information Systems and Technology
Computer Science
Advanced Database Design
Data Management or a closely related discipline

Required Experience and Skills:

Demonstrated expertise in big data storage and retrieval architectures, including enterprise data warehouse design and implementation, distributed databases and data replication/concurrency models, and ETL processes and data pipeline development
Practical experience with NoSQL and object-oriented database systems, multimedia databases and complex data types, and Advanced query languages and dataset reduction techniques
Proficiency in processing large-scale data using industry-standard tools, packages, or programming frameworks
Ability to generate and interpret data-driven visualizations for analysis

Preferred Qualifications:

University-level teaching experience in database systems, information systems, or big data technologies
Experience in designing and delivering instruction (in-person or online)
Practical experience with distributed computing frameworks (e.g., Hadoop, Spark), scalable storage technologies (e.g., HDFS, cloud data lakes), data integration and federation tools across heterogeneous systems
Familiarity with real-world applications of big data systems in industry or research contexts
Strong analytical and problem-solving background relevant to large-scale data infrastructure
Evidence of competent and effective teaching experience at the undergraduate university level (letters of reference and course/performance evaluations).

Applications

Please include a cover letter and a current resume. Members with seniority can provide seniority date in the application questionnaire. Assure to include all required documentation, including letters of reference and course/performance evaluations.

Please Note

Positions listed on this posting are subject to course enrolments and budgetary approval.

As per Article 22.04 of the Collective Agreement:

Members shall not accept any appointment which, taken together with all other appointments at the University, would cause the member to exceed the maximum number of regular hours (i.e., not overtime hours) allowable in a work week under the Employment Standards Act, as amended from time to time.

Applicants that are in excess of the above noted workload limits will not have their applications considered unless they have received prior written approval from the appropriate Dean and the Human Resources Department.

The Collective Agreement governs part-time Instructor, Teaching Assistant, Lab Demonstrator, Course Coordinator and Marker-Grader positions at Brock University. The Agreement can be accessed on the Human Resources Web Site - https://brocku.ca/human-resources/collective-agreements/

Additional Comments

Course descriptions can be found on the Undergraduate course calendar website:
http://www.brocku.ca/webcal/

Academic terms generally run from:

Fall – September to December

Winter – January to April

Spring – May to July

Summer – July to August

*Actual dates can be found on the Timetables available on the Office of the Registrar web page: https://brocku.ca/registrar/toolkit/registration/

We are committed to offering flexible work arrangements where possible as outlined in our Flexible Work Arrangement Policy. As a student-centered organization, all employees are required to work on campus as needed.

Brock University is committed to creating a respectful and equitable workplace. We strive to foster a culture of diversity and inclusion in our work and learning environments. We welcome applications from all qualified individuals and actively encourage applications from women, people with disabilities, members of the 2SLGBTQIA+ community, Indigenous Peoples, people who identify as Black, African and/or Caribbean, as racialized and/or as from ethnic and cultural minority groups, and other underrepresented demographic groups at Brock and in the Niagara region. Brock also recognizes intersectionality and the interconnected identities, histories, and experiences of these aforementioned groups.

We are committed to inclusive and barrier-free recruitment, and we accommodate the needs of applicants throughout all stages of the recruitment process, as outlined in our Employment Accommodation Policy and consistent with the requirements of the Ontario Human Rights Code. Please contact talent@brocku.ca  if you require a disability related accommodation so we can ensure your participation needs are met.

Brock University does not use AI Technology at any stage of the recruitment process.

We appreciate all applications received. Candidates that are selected for an interview will be contacted.

Learn more about Brock University by visiting www.brocku.ca.

Instructor DASA 3P41 Fall D2

Job description

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