C

Colliers

Global real estate services and investments

Director Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listed

About the Job

Requirements

  • A degree and/or diploma in Computer Science, Data Science, Information Technology, Engineering, or a related discipline.
  • Eight to ten 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, including 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, including Kubernetes, particularly GKE, microservices architecture, enterprise APIs, serverless computing, infrastructure-as-code using Terraform, Azure DevOps, and CI/CD frameworks.
  • Strategic understanding of business intelligence, analytics, and artificial intelligence, including knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven solutions that accelerate engineering delivery and operational excellence.
  • Ability to influence senior leaders, align cross-functional teams, translate technical strategy into measurable business outcomes, and build a culture of accountability and collaboration.
  • Applicants must be currently authorized to work in Canada on a full-time basis.

Responsibilities

  • Lead enterprise data engineering strategy by directing and scaling a high-performing team of managers and data engineers, and fostering innovation, collaboration, continuous improvement, and technical excellence.
  • 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.
  • Partner with Enterprise Architecture, product leaders, vendors, and technology stakeholders to define and execute the long-term data engineering roadmap, aligned with regional and global business objectives.
  • Define and enforce standards for DataOps, SDLC, CI/CD, data governance, security, documentation, code quality, and AI-enabled delivery methodologies.
  • 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.

Desired Qualifications

  • A Master's degree, or an equivalent combination of education and experience.
  • Commercial real estate industry experience is considered an asset.

About the Company

Colliers

Global real estate services and investments

Colliers is a global professional services and investment management firm focused on real estate and related assets. It delivers real estate guidance and asset management through a network of 17,000 professionals in 62 countries who analyze markets, structure deals, manage properties, and oversee portfolios for clients and investors. Its strengths include a large, globally integrated platform, insider leadership ownership, and a 27+ year track record of delivering shareholder returns, enabling end-to-end real estate solutions. Its goal is to maximize the potential of property and real assets to accelerate the success of clients, investors, and people.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1976

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