Назад
Company hidden
2 дня назад

Director, Data Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →