Instructor DASA 3P41 Fall D2

Brock University • St. Catharines, ON

19d • Onsite

About The Position

This job advertisement is to fill an existing vacancy in the CUPE4207-1 (Employee Group) for the course Storage and Retrieval of Big Data (DASA 3P41 / ITIS 3P41). The 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.

Requirements

• 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
• 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

Nice To Haves

• 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)

Responsibilities

• Scheduled contact time with students
• Preparation of lectures
• Student consultation
• Marking and grading
• Course administration, including grade appeals and cases of academic dishonesty
• Responsible for the first hour of seminar/lab in each course for instructors employed in a 2-hour/week lecture, or the equivalent.

Benefits

• Compensation effective September 1, 2026 - $7,887.59 per half course (195 hours nominally)
• Compensation effective September 1, 2026 - $15,775.20 per full course (390 hours nominally)

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level