Data Solutions Engineer (1 year-term)

Date Posted: 05/24/2024
Req ID: 37470
Faculty/Division: Ofc of the Chief Information Officer
Department: Enterprise Apps & Solutions Integration
Campus: St. George (Downtown Toronto)
Position Number: 00056416




About us:

The Enterprise Applications and Solutions Integration (EASI) department within the Chief Information Officer’s (CIO) Division is a central department responsible for all matters pertaining to the development, maintenance and effectiveness of the core administrative management and student systems at the U of T. Included within these responsibilities are all central SAP systems, such as Financial Services, Human Resources, Research Administration and Procurement; the central U of T Student System (ROSI); approximately 40 related vendor and specialized web applications, as well as central Business Intelligence and Document Management applications.

Your opportunity:

Under the general direction of the Executive Director, Enterprise Applications & Solutions Integration or their designate, you will be part of a dynamic, collaborative and innovative team focused on delivering transformational technology solutions to the University. Through your efforts in this position, you will directly help improve the University’s administrative management and student systems.

Your responsibilities will include:



  • Reconciling business requirements with information architecture needs for highly complex system integration
  • Conducting data modelling for business system analysis
  • Advising on data structure designs
  • Developing methods for database integration
  • Analyzing and configuring highly complex enterprise applications and services
  • Analyzing, troubleshooting and testing highly complex systems
  • Designing, testing, and modifying programming code


Essential Qualifications:



  • Bachelor’s Degree or acceptable combination of equivalent experience.
  • Five years or more in a similar role
  • 5+ years developing SQL queries and optimizing queries for performance.
  • 3+ years using Azure Data Factory and developing data pipelines for data integration
  • 3+ years of concrete programming and scripting language experience (e.g. Python, Java)
  • Practical experience using data visualization and business intelligence tools (e.g., Power BI) to analyze data
  • Data warehouse and data lake architecture principles
  • Data ETL pipelines for large-scale transformations, conversion and partitioning
  • Techniques for detecting and addressing data quality issues
  • In-depthworking experience using Azure Cloud services including Azure Data Lake, Azure Databricks and Azure Synapse Analytics
  • Ability to communicate highly technical and complex security concepts effectively across all levels of the organization (both ITand business)
  • Business information requirement analysis experience with a strong understanding of project management principles
  • Solid experience with data privacy and security practices, metadata management, data governance and access controls within an enterprise data management framework

Assets (Nonessential):



  • Azure Certified Solutions Architect Professional certification and/or other Azure professional certifications

To be successful in this role you will be:



  • Articulate
  • Communicator
  • Cooperative
  • Motivated self-learner
  • Resourceful
  • Team player


This is a 1 year-term position


Closing Date:
 06/10/2024, 11:59PM ET
Employee Group: USW
Appointment Type: Budget – Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 18 – $112,241 with an annual step progression to a maximum of $143,537. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)
Recruiter: Khristen Sivaramalingam

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

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