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Director, Data Engineering

Toronto, Ontario, Canada

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Employment
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What you’ll work on

Full posting

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud environment.

This is an opportunity to leverage your expertise to help drive Colliers' next-generation data ecosystem, modernize our enterprise data platforms, and position the organization for continued innovation and growth.

What you’ll bring

All qualifications

Core experience

  • Degree and/or diploma in: Computer Science, Data Science, Information Technology, Engineering, or a related discipline.
  • Master’s degree preferred, or an equivalent combination of education and experience.
  • 8-10 years of progressive experience, preferably in: data engineering, data platform, cloud engineering, enterprise data architecture, or related technology leadership roles, including experience managing managers and technical professionals.
  • Proven experience in cloud-based data architecture and engineering: Deep expertise designing and scaling enterprise data platforms using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee.
  • Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks.
Qualification wording
Degree and/or diploma in: Computer Science, Data Science, Information Technology, Engineering, or a related discipline. Master’s degree preferred, or an equivalent combination of education and experience.
8-10 years of progressive experience, preferably in: data engineering, data platform, cloud engineering, enterprise data architecture, or related technology leadership roles, including experience managing managers and technical professionals.
Proven experience in cloud-based data architecture and engineering: Deep expertise designing and scaling enterprise data platforms using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee.
Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks.
Education & alternatives
What you bring: - Degree and/or diploma in: Computer Science, Data Science, Information Technology, Engineering, or a related discipline. Master’s degree preferred, or an equivalent combination of education and experience. - 8-10 years of progressive experience, preferably in: data engineering, data platform, cloud engineering, enterprise data architecture, or related technology leadership roles, including experience managing managers and technical professionals.

Tools in this posting

  • Azure
  • BigQuery
  • Kubernetes
  • Looker
  • Terraform
  • Google Cloud (GCP)
  • Power BI
Source — Tool mentions in context
- Proven experience in cloud-based data architecture and engineering: Deep expertise designing and scaling enterprise data platforms using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee. - Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks. - Strategic understanding of BI, analytics, and artificial intelligence: Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven solutions that accelerate engineering delivery and operational excellence.
- 8-10 years of progressive experience, preferably in: data engineering, data platform, cloud engineering, enterprise data architecture, or related technology leadership roles, including experience managing managers and technical professionals. - Proven experience in cloud-based data architecture and engineering: Deep expertise designing and scaling enterprise data platforms using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee. - Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks.
- Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks. - Strategic understanding of BI, analytics, and artificial intelligence: Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven solutions that accelerate engineering delivery and operational excellence. - Exceptional leadership and communication skills: Ability to influence senior leaders, align cross-functional teams, translate technical strategy into measurable business outcomes, and build a strong culture of accountability and collaboration.

Job description

View original posting ↗

Accelerate your success at Colliers.


Why Colliers?

As one of Canada’s leading commercial real estate services firms, we are driven by our mission to accelerate success for our people, clients, and communities.


A career at Colliers gives you the opportunity to make an impact, advance your career, and collaborate with top-tier talent. Don’t just take our word for it – we’ve been recognized as a top employer on a number of prestigious lists, including Best Workplaces in Canada, Best Workplaces with Most Trusted Executive Teams, among others.

Toronto, ON, Hybrid

About the role: 
 

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud environment. Partnering closely with data leadership, enterprise architecture, and technology stakeholders, you will lead the design, delivery, and operation of scalable data platforms and services that enable business transformation, advanced analytics, artificial intelligence, and data-driven decision making across North America and globally. 

This is an opportunity to leverage your expertise to help drive Colliers' next-generation data ecosystem, modernize our enterprise data platforms, and position the organization for continued innovation and growth. 

  • Lead enterprise data engineering strategy: Direct and scale a high-performing team of managers and data engineers, fostering a culture of innovation, collaboration, continuous improvement, and technical excellence. 

  • Drive modern data platform delivery: Oversee the design, development, and implementation of enterprise-scale data platforms, including microservices architectures, data mesh and data fabric capabilities, AI/ML pipelines, Agentic AI and GenAI workflows, document extraction services, and business intelligence solutions. 

  • Champion technology roadmap and innovation: Partner with Enterprise Architecture, product leaders, vendors, and technology stakeholders to define and execute the long-term data engineering roadmap, ensuring alignment with regional and global business objectives. 

  • Establish operational excellence and DataOps practices: Define and enforce standards for DataOps, SDLC, CI/CD, data governance, security, documentation, code quality, and AI-enabled delivery methodologies to ensure scalable and reliable platform operations. 

  • Ensure platform reliability and service excellence: Oversee the operational health, performance, and support of critical North American and global data products, driving incident management, platform availability, and adherence to enterprise service level agreements (SLAs). 

What you bring: 

  • Degree and/or diploma in: Computer Science, Data Science, Information Technology, Engineering, or a related discipline. Master’s degree preferred, or an equivalent combination of education and experience. 

  • 8-10 years of progressive experience, preferably in: data engineering, data platform, cloud engineering, enterprise data architecture, or related technology leadership roles, including experience managing managers and technical professionals. 

  • Proven experience in cloud-based data architecture and engineering: Deep expertise designing and scaling enterprise data platforms using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee. 

  • Strong proficiency in modern engineering practices and tools: Experience with Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks. 

  • Strategic understanding of BI, analytics, and artificial intelligence: Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven solutions that accelerate engineering delivery and operational excellence. 

  • Exceptional leadership and communication skills: Ability to influence senior leaders, align cross-functional teams, translate technical strategy into measurable business outcomes, and build a strong culture of accountability and collaboration. 

  • Commercial real estate industry experience: Considered an asset. 

This posting is for an existing vacancy within our organization.

 

Colliers does not use AI-enabled tools to sort or decline applications.  All decisions are made by our talent acquisition team.

#LI-WM1
#LI-Hybrid


What we offer: 

Innovative projects: Work on cutting-edge initiatives that shape our communities, drive our growth, and make a tangible impact.

Career growth: Advance your career and achieve your goals with industry-leading training and development programs.

Competitive benefits & compensation: Enjoy a comprehensive and flexible benefits package along with competitive compensation that rewards your contributions and supports your well-being.

Collaborative culture: Join our enterprising team where innovation thrives, collaboration is key, and our people are empowered to be their authentic selves and do their best work.

Diversity, Equity & Inclusion: Our robust North American Diversity & Inclusion Program features eight Employee Resource Groups (ERGs), where you can connect, learn, and contribute to a diverse and supportive community. Learn more: https://www.collierscanada.com/en-ca/careers/diversity-and-inclusion

Global network: Join a global team of 28,000 professionals across 70 countries, where you'll expand your network and learn from experts in a dynamic international community. Accelerate your career and enhance your expertise as you connect and collaborate with top talent around the world.


Applicants must be currently authorized to work in Canada on a full-time basis. The employer will not sponsor applicants for work visas.


Direct applicants only please, no agencies.


Colliers is an equal opportunity employer and values diversity in its workforce. Colliers encourages applications from all qualified individuals and will accommodate applicants' disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. If you require a disability-related accommodation to participate in the recruitment process, please contact the recruitment team by email at careers@colliers.com.


Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

Toronto, Ontario, Canada

A career at Colliers gives you the opportunity to make an impact, advance your career, and collaborate with top-tier talent. Don’t just take our word for it – we’ve been recognized as a top employer on a number of prestigious lists, including Best Workplaces in Canada, Best Workplaces with Most Trusted Executive Teams, among others. Toronto, ON, Hybrid About the role:
More source context
Colliers does not use AI-enabled tools to sort or decline applications. All decisions are made by our talent acquisition team. #LI-WM1 #LI-Hybrid What we offer:
Work authorization
Global network: Join a global team of 28,000 professionals across 70 countries, where you'll expand your network and learn from experts in a dynamic international community. Accelerate your career and enhance your expertise as you connect and collaborate with top talent around the world. Applicants must be currently authorized to work in Canada on a full-time basis. The employer will not sponsor applicants for work visas. Direct applicants only please, no agencies.
Status in our records
Active
First seen by us
Aug 19, 2026
Recorded sightings
118
Last seen by us
Oct 9, 2026

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