2 дня назад
Director, Data Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Engineering (GCP/Data Platforms): Leading the strategy, delivery, and operation of enterprise-scale data platforms across a multi-cloud environment with an accent on DataOps, AI/ML pipelines, microservices, and data governance. Focus on scaling engineering teams, modernizing data platforms, and ensuring reliable global data products aligned with business transformation and analytics.
Location: Hybrid role in Toronto, Ontario, Canada. Applicants must be currently authorized to work in Canada on a full-time basis. Visa sponsorship is not available.
Company
is a leading commercial real estate services firm operating across North America and a global network of 24,000 professionals in 70 countries.
What you will do
- Lead the enterprise data engineering strategy and manage managers and data engineers.
- Oversee the design, development, and implementation of enterprise-scale data platforms and services.
- Deliver microservices architectures, data mesh and data fabric capabilities, AI/ML pipelines, Agentic AI and GenAI workflows, document extraction services, and business intelligence solutions.
- Define and execute the long-term data engineering roadmap with enterprise architecture, product, vendor, and technology stakeholders.
- Establish DataOps, SDLC, CI/CD, governance, security, documentation, code quality, and AI-enabled delivery standards.
- Ensure the reliability, performance, availability, incident management, and SLA compliance of North American and global data products.
Requirements
- Degree or diploma in Computer Science, Data Science, Information Technology, Engineering, or a related discipline; a master’s degree is preferred.
- 8–10 years of progressive experience in data engineering, data platforms, cloud engineering, enterprise data architecture, or technology leadership, including management of managers and technical professionals.
- Deep expertise designing and scaling cloud-based data platforms with Google Cloud services including BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, and Apigee.
- Experience with Kubernetes/GKE, microservices, enterprise APIs, serverless computing, Terraform, Azure DevOps, and CI/CD frameworks.
- Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven solutions.
- Exceptional leadership, communication, stakeholder management, and cross-functional collaboration skills.
Nice to have
- Commercial real estate industry experience.
Culture & Benefits
- Innovative projects focused on community impact, business growth, and technology transformation.
- Training and development programs supporting career growth.
- Comprehensive and flexible benefits package with competitive compensation.
- Collaborative and inclusive work environment with employee resource groups.
- Opportunity to collaborate with colleagues and experts across a global professional network.
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