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Senior Database Administrator - Information Technology Services
MacEwan University
AB · Edmonton, AB
Full-time
Reporting to the Team, Lead, IT Data and Analytics, the Senior Database Administrator is a technical subject matter expert responsible for leading activities related to enterprise database…

MacEwan University

Senior Database Administrator - Information Technology Services

AB, Canada
Edmonton, AB, Canada

Pay: Salary: MSU Band G (Steps 1-8): $41.674 - $60.619 per hour. $75,846 - $110,326 per annum (Based on 35 hours per week).
Job type: Full-time
Apply by: Oct 6, 2026
Working hours: 35 hours per week
Posting language: English
Posted: Sep 25, 2026

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Original job description

Competition Number: 26.09.235

Category: Full-Time Continuing (35 hours per week)

Salary: MSU Band G (Steps 1-8): $41.674 - $60.619 per hour. $75,846 - $110,326 per annum (Based on 35 hours per week).

Closing Date: October 6, 2026

MacEwan University is seeking a Senior Database Administrator for a full-time continuing opportunity with Information Technology Services.

Reporting to the Team, Lead, IT Data and Analytics, the Senior Database Administrator is a technical subject matter expert responsible for leading activities related to enterprise database technologies within Information Technology Services (ITS). You will coordinate the development and design of enterprise database systems supporting key business applications including online course management (CMS), enterprise resource planning (ERP), enterprise data warehouse and business intelligence (BI) technologies critical to key University services.

Key responsibilities include:

Designing, developing, and maintaining ETL pipelines to move data efficiently and securely from source systems, including Oracle Applications and Databases, into the data warehouse;
Working with Azure Data Factory and Microsoft Fabric to ensure data flows are automated, optimized, and reliable. This includes creating, managing, and testing data pipelines, and using Microsoft Power BI for reporting and visualization of data;
Managing the transition from existing systems (including Oracle, IBM Infosphere, etc.) to updated cloud-based environments, ensuring seamless data migration and integration;
Maintaining, optimizing, and troubleshooting the university’s database systems, including MSQL, Azure SQL databases, AWS databases, and Oracle databases/applications;
Monitoring and ensuring efficient data storage, performance tuning, and security compliance for all data assets;
Acting as a liaison between the Data and Analytics team and other departments (e.g., IT, Finance, HR, etc.) to identify data needs, prioritize projects, and ensure alignment with business objectives; and
Providing ongoing support and training on data tools and technologies, including Microsoft Fabric, Azure, Power BI, Oracle databases, and data management best practices.

Skills

You will have:

Comprehensive knowledge of database administration principles and best practices;
Excellent SQL, relational and multidimensional database design skills;
Excellent knowledge of data movement, data migration, and data conversion practices;
Strong knowledge of enterprise database architectures, theories, principles, and practices;
Strong knowledge of data warehousing concepts and methodologies;
Knowledge of BI tool architectures, functions, and features;
Demonstrated ability to troubleshoot and resolve data integrity and performance issues across diverse platforms;
Excellent analytical and problem-solving skills, with the ability to prioritize and manage multiple tasks effectively;
Strong troubleshooting skills to diagnose and resolve complex database issues;
Strong interpersonal and communication skills (verbal and written);
The ability to analyze system performance and suggest improvements;
The ability to adapt to new technologies (e.g., Azure, AWS, Microsoft Fabric) and tools; and
Familiarity with Learning Management Systems (e.g., Moodle) and Enterprise Resource Planning (ERP) systems (e.g., PeopleSoft).

Qualifications

A minimum of a Bachelor’s Degree in Computer Science, Information Technology, Data Science, or a related field.

A minimum of 7 years of progressive experience in Information Technology with at least 3 years of related experience in data engineering, database administration, or a similar role, including:

Experience with cloud platforms such as Azure, AWS, and Microsoft Fabric
Hands-on experience in designing and implementing ETL pipelines (using Azure Data Factory, Microsoft Fabric, or similar tools)
Experience working with Oracle databases, MSQL, and other relational databases (e.g., Azure SQL, AWS RDS)
Experience in data integration and migration projects, particularly migrating from legacy systems (e.g., Oracle) to cloud-based environments
Experience and proficiency in developing and maintaining ETL Pipelines
Experience in database performance tuning, including query optimization and indexing

The following would be considered an asset:

Familiarity with or experience in a post-secondary or other public sector environment

Certification in:

Microsoft Certified: Azure Data Engineer Associate
AWS Certified Solutions Architect
Oracle Database Administrator Certification
Microsoft Certified: Power BI Data Analyst Associate
An equivalent combination of education and experience may be considered.

Benefits

When you become part of the MacEwan University team, you will enjoy a competitive salary. Our total compensation package includes:

Competitive base pay
Generous vacation time
Secure pension plan
Flexible benefits package
Continuous learning culture
Opportunities for career growth

How To Apply

To apply, please head to our MacEwan University Opportunities Page, select the job opportunity and click Apply Now. If you require assistance, please contact us at careers@macewan.ca.

If you are experiencing technical difficulties when submitting your application, please try submitting through a different browser (i.e., Safari, Firefox, Chrome, etc.). If the issue persists, please send a screenshot of the error message to careers@macewan.ca so we can assist and ensure your application is received.

This position is included under the MacEwan Staff Union Collective Agreement.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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More about this job

Responsibilities

Lead the design, development, administration, and optimization of enterprise database systems and ETL pipelines supporting university applications, data warehousing, and business intelligence. Coordinate data migration to cloud platforms, ensure database performance and security, collaborate with university departments on data needs, and provide support and training on data tools.

Requirements

A bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field is required, along with at least seven years of progressive IT experience and at least three years in data engineering, database administration, or a similar role. Candidates need experience with Azure, AWS, Microsoft Fabric, ETL pipelines, Oracle and other relational databases, data migration, and database performance tuning.

Skills

Database Administration
SQL
Relational Database Design
Multidimensional Database Design
ETL Pipeline Development
Data Migration
Data Integration
Data Warehousing
Database Performance Tuning
Query Optimization
Azure Data Factory
Microsoft Fabric
Power BI
Oracle Databases
Azure SQL
AWS Databases

Benefits

Competitive Base Pay
Generous Vacation Time
Secure Pension Plan
Flexible Benefits Package
Continuous Learning
Career Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Database Administration
SQL
Relational Databases
Multidimensional Databases
ETL
Azure Data Factory
Microsoft Fabric
Power BI
Oracle
Azure SQL
AWS
AWS RDS
IBM Infosphere
Data Warehousing
Business Intelligence
Data Integration
Data Migration
Data Conversion
Cloud Platforms
Database Performance Tuning
Query Optimization
Indexing
Data Security
Enterprise Resource Planning
Learning Management Systems
Moodle
PeopleSoft
Azure Data Engineer Associate

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