Reads like a Data Leadership role: running a data team.
Toronto, Ontario, Canada
Live, first seen by us 79 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Applicants must be currently authorized to work in Canada on a full-time basis
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.
Direct and scale a team of managers and data engineers
Oversee design and delivery of enterprise-scale data platforms and AI pipelines
Define the long-term data engineering roadmap with architecture and vendors
Set standards for DataOps, CI/CD, governance and security
Oversee uptime, performance and SLA adherence for critical data products
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.
Direct and scale a high-performing team of managers and data engineers
Oversee the design, development, and implementation of enterprise-scale data platforms
Partner with Enterprise Architecture, product leaders, vendors, and technology stakeholders to define and execute the long-term data engineering roadmap
Define and enforce standards for DataOps, SDLC, CI/CD, data governance, security
Oversee the operational health, performance, and support of critical North American and global data products
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.
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.
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Day 79
Up longer than most. Similar jobs usually come down between day 7 and day 54.
At Colliers International Group, jobs usually come down by about day 53.
From 8,229 similar postings that came down, and 7 of Colliers International Group’s. Coming down is not always a hire.
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- 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.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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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:
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:
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.