Data Analytics

Job Number:

- J1025-0434- Posting Date:

- November 6, 2025- Closing Date:

- November 14, 2025- Job Title:

- Lead, Data Hub- Branch/Department:

- North York Central- Division:

- Planning, Policy & Performance Management- Employment Type:

- Permanent Full Time- Status:

- Full-Time- Hours per week:

- 35- # of Open Positions:

- 1- Salary:

- $93,329.60 - $105,469.00/Year- Pay Band:

- PE022
- **About TPL**
Toronto Public Library (TPL) is North America’s busiest public library system. TPL employs approximately 2,400 staff who provide high quality library services to the people of Toronto across 100 locations.
- **Specific Position Information**: The successful applicant will be required to provide a current Vulnerable Sector Police Reference Check.
- 35 hours per week. Evenings and Saturdays required.
- Plus seven [7] variable hours.
- **JOB SUMMARY**:

- **DUTIES**:
Under the general direction of the designated supervisor, and working within a team structure, this position is responsible for:

- Accountability for the development and maintenance of one of TPL’s data lake platforms
- Leading the development of data lake standards, technical architecture, design, development and testing
- Planning the administration of the data lake to ensure optimal performance, scalability, flexibility and reliability in extraction, storage and reporting
- Coordinating the development and implementation of surrounding toolset integration for reporting and other purposes
- Ensuring high levels of data availability and compliance with the TPL’s data analytics program
- Planning, scheduling and executing on Data Hub deliverables for enterprise-wide projects with the Enterprise Project Management Office and other ITS teams
- Planning and leading operational data lake projects using best practices to ensure consistent, high quality and availability of enterprise data
- Designing and implementing redundant systems, policies, and procedures for data archiving to ensure effective protection and integrity of data assets
- Evaluating, recommending and selecting data lake components, includingdatabase management systems, ETL (extract, transform, load) software, data mining tools, and meta data management tools
- Enabling automation of extract, transform and load (ETL) processes which feed into data lake
- Monitoring and reporting the performance of Data Hub components against KPIs and take pre-emptive measures to minimize interruptions
- Identifying opportunities and recommending and developing solutions for improving the overall Data Hub health
- Responsible for continuing and enhancing a high degree of availability of the Data Hub to provide business intelligence and advanced analytics.
- Developing and optimizing the throughput of the data pipeline including pulling data from APIs (both REST and SOAP)
- Owning the data schemas and ensuring that they are fit for use with business rules and analysis needs, working closely and cooperatively with a variety of users from all levels to provide a high level of service to the organization
- Programming, scripting (e.g. SQL, PowerShell, Python, C#, Power Query) and DAX expressions
- Implementing asset management practices to enable accurate account of technology, lifecycle costs, and risks in order to support strategic decision-making and optimize spending and lifecycle management
- Directing staff including setting performance standards and providing verbal input to performance appraisals
- Participating in various committees and project teams to ensure alignment of technical implementation with business current and future needs
- Supporting current operations as well as new projects by creating process documentation, such as user manuals
- Discovering and documenting data usage and requirements across multiple stakeholder groups
- Informing the development, maintenance, and evolution of technical roadmaps
- Producing service level reports and analysis
- Performing other duties as assigned-
**QUALIFICATIONS**:

- Completed post-secondary education in the field of Information Technology
- Ten (10) years’ related experience or an equivalent combination of education, training and experience
- More than five (5) years of related experience in a data-related IT leadership role, such as team lead
- Demonstrated experience in implementation and tuning of data lake platforms (e.g. data lake design, query tuning and optimization, and data migration and integration)
- Experience in relational database design using MS SQL Server, MySQL
- Proven experience with Power BI, including data modeling, report development, and governance in an enterprise environment
- Hands-on expertise with Microsoft Fabric Semantic Models, with the ability to design scalable, well-structured data foundations for analytics
- Experience with data architecting, data mining, data modeling, and business requirements gathering and analysis
- Experience with data security, data governance, or master data management (MDM) is