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
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.
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.
Additional Information
Brock University is located on the traditional territory of the Haudenosaunee and Anishinaabe peoples, many of whom continue to live and work here today. This territory is covered by the Upper Canada Treaties and is within the land protected by the Dish with One Spoon Wampum Agreement.
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.
Brocku · St. Catharines, Main Campus