Solutions Architect Data, Digital Team

Posting Title: Solutions Architect Data, Digital Team Job ID #: 7607

Salary: $71.75 - $83.75

Shift: Days

Hours: 35 hours

Status: 24 Month Contract

Location: 40 College Street, Toronto Police Service Headquarters

Department: Data Management

Vacancies: 1

Job Code: A13ACA

Opening Date: October 29, 2025

Must Apply By: November 11, 2025

The Opportunity You will be part of a team who will be designing and building our digital experiences. You will have a chance to collaborate with communities, business partners, police officers and your colleagues to develop and validate hypotheses to impact policing in Toronto.

This unique opportunity will allow you to learn various platforms and technologies and contribute to continuously improving our digital delivery skillsets as we grow as a team and into multiple teams. If you are a curious individual who loves to learn, loves change and an environment where you can be expressive and challenged by other ideas, we need you on this team!

The Toronto Police Service is looking for a forward thinking and driven candidate with experience in leading digital transformation projects in a diversity of environments, combined with proven problem‑solving skills to aid in the identification of root cause issues and develop creative solutions.

What can I expect to do in this role? Reporting to the Manager, Data Management, the Solutions Architect – Data will be responsible for leading the design and execution of the Toronto Police Service technical data strategy for the Digital Program and other related initiatives. Working closely with teams across the organization, this role will develop, visualize, implement, and maintain an overall organizational data architecture to support TPS product lines and related operations. The architecture includes data model designs, database development standards, implementation and management of data design practices across datamarts, warehouses, Application Programming Interfaces (APIs), and analytics systems.

The Solutions Architect Data has thorough knowledge of data privacy, security and legislative requirements to ensure the data architecture is designed accordingly and to automate the requirements wherever possible. The role is also responsible for ensuring that data designs support TPS platforms and digital transformation with an emphasis on the governance and evaluation of Artificial Intelligence (AI) and Machine Learning (ML) applications. Required to lead teams and collaborate effectively with stakeholders.

Furthermore, the Solutions Architect Data will design, lead and implement projects and deliverables. They will lead teams and collaborate effectively with stakeholders, supervise junior staff and assign tasks.

Duties and Responsibilities

Lead TPS data architecture efforts including data model design and database development standards

Create, implement and maintain data mesh/fabric, knowledge graphs and related tools for the Service

Inform the implementation and management of datamarts, warehouses, APIs and analytics systems

Collaborate with stakeholders on data security, retention, classification and use to define data standards

Supervise team members and assign tasks, responsible for team performance

Inform standards of end‑to‑end data lifecycle use including platforms, data models and solution testing

Lead the creation of data processes, standards and methods across data use cases

Write professional data system design documents

Liaise with external data partners and other data specialists to maintain current knowledge and collaboration opportunities using data

Support in AI/ML application review and design

Proactively manage vendor partners, business and technical subject matter experts

Collaborate with subject matter experts, command members, partner agencies and community stakeholders

Ensure successful implementation and sustainability of the platforms and digital transformation strategy

Exercise professional judgment, strategic thinking and skill proficiency to propose, support and/or complete simultaneous complex projects

Provide required updates using accessible project‑management tools and proven methodologies to the PMO Manager, CTO, Digital Program Manager and other stakeholder groups as required

Develop, prepare and maintain up‑to‑date data artifacts including knowledge graphs, data mesh/fabric, metadata management systems and data models for Service products and applications

Identify alignments of data architecture efforts with the Service's strategic priorities and goals

Lead teams during project implementations, motivate and engage team members, convey clear expectations for assignments and hold people accountable for achieving their goals

Establish and support project‑working groups and steering committees as required, including creating terms of reference, scheduling and chairing meetings

Document project benefits, challenges and lessons learned

Document minutes of meetings and action items in a timely manner

Perform typical duties inherent to the position

Education and Experience

An undergraduate degree in a related field (Computer Science, Engineering or Analytics) or an approved equivalent combination of education, training and experience

A certification in Data Modelling is preferred

Minimum 5 years of experience, which includes:

Leading data architecture and data design activities

Modelling experience within a large organization within information management, business intelligence and data analytics

Use of common patterns, frameworks and reference architectures for information management, digital transformation and platform technology design

Designing on‑premise and cloud‑based data solutions (AWS, Azure, GCP, Microsoft Fabric) and hybrid architectures to enable use cases in analytics and AI/ML

Working in agile methodology teams

Proficient in data modelling and design including SQL development and database administration such as SQL Server, Oracle, DB2, MySQL, MongoDB and NoSQL

Experience in knowledge graph design involving various technologies

In‑depth knowledge of methods and skills including data abstraction, SQL programming and database optimization

Skills and Competencies

Familiar with data lake, data fabric & mesh, architectures

Knowledgeable in big data solutions based on open‑source technology and familiar with Hive, Python, Hadoop

Comfortable with ambiguity and conversant with the application of methodologies to bring structure to projects

Understanding of policing would be considered an asset

Familiar with cloud‑based platform technologies and how these can be composed into robust solutions

Familiar with Service Design principals

Possess strong oral and written communication skills

Effective troubleshooting and problem‑solving skills to aid in the identification of root cause issues and develop creative solutions

Proven ability to transfer knowledge both within and between business units

Strong business understanding and ability to translate operations into data designs

Strong ability to balance trade‑offs and drivers across multiple areas that impact data architecture decisions

Contact Lisa Petko, A/ Senior Talent Acquisition Advisor

Talent Acquisition

Notes: Competencies may be measured through various selection tools such as test(s) and/or interview.

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