Director, Data Engineering in Toronto

Director, Data Engineering in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and delivery of innovative data platforms in a dynamic, multi-cloud environment.
  • Company: Join Colliers, a top commercial real estate firm committed to success and innovation.
  • Benefits: Enjoy competitive pay, flexible benefits, and career growth opportunities.
  • Other info: Be part of a diverse team that values collaboration and personal growth.
  • Why this job: Shape the future of data engineering and make a real impact on business transformation.
  • Qualifications: 8-10 years in data engineering with strong leadership and cloud expertise.

The predicted salary is between 123750 - 151250 $ per year.

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.

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.

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.
  • 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.

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.

Director, Data Engineering in Toronto employer: Colliers

Colliers is an exceptional employer that fosters a dynamic work culture focused on collaboration and innovation. With a commitment to employee growth, we offer extensive professional development opportunities and a supportive environment that encourages strategic thinking and leadership. Located in the vibrant regions of BC, Alberta, and Manitoba, our team enjoys a unique blend of urban and natural landscapes, making it an ideal place for both personal and professional fulfillment.

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Contact Details:

Colliers Recruitment Team

We think you need these skills to ace Director, Data Engineering in Toronto

Data Engineering
Cloud Engineering
Enterprise Data Architecture
Google Cloud Platform
BigQuery
Kubernetes
Microservices Architecture