Director, Enterprise Data Platforms

CIBCToronto, ON
Hybrid

About The Position

The Global Technology, Data and Artificial Intelligence (GTDAI) team at CIBC is responsible for delivering scalable, secure, and modern technology solutions that enable innovation across the enterprise. By integrating modern technology, data intelligence, and AI capabilities, GTDAI supports the bank’s digital transformation strategy and helps deliver exceptional client and employee experiences. As the Director, Enterprise Data Platforms, you’ll lead the delivery and evolution of enterprise data engineering solutions supporting scalable and reliable data capabilities across the organization. You’ll work closely with business, platform, and technology teams to develop modern data pipelines, engineering standards, and platform capabilities that enable trusted analytics and AI initiatives. This role will help drive engineering excellence, operational reliability, and continuous improvement across enterprise data engineering practices. At CIBC, we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1–3 days per week on-site, while other days will be remote.

Requirements

  • 7+ years of progressive experience in data engineering, enterprise data platforms, or related technology leadership roles.
  • Strong expertise in enterprise data engineering, ETL/ELT frameworks, distributed data processing, metadata management, and scalable data solutions.
  • Hands-on experience with technologies such as Python, Java, Scala, SQL, and modern cloud-based data ecosystems.
  • Understanding of modern engineering practices including monitoring, observability, automation, incident management, and operational support models.
  • Strong leadership and stakeholder management skills with experience leading technical teams and enterprise delivery initiatives.
  • Passionate about building scalable and trusted enterprise data solutions that enable analytics and business outcomes.
  • Values: trust, teamwork, and accountability.

Responsibilities

  • Lead and mentor a high-performing team of data engineers while fostering collaboration, innovation, and continuous improvement.
  • Support the design, development, and maintenance of scalable enterprise data engineering solutions, pipelines, and frameworks.
  • Ensure the delivery of reliable, secure, and high-quality data solutions aligned to business and technology objectives.
  • Drive adoption of modern engineering standards, observability, monitoring, operational support, and platform reliability practices.
  • Collaborate with architecture, platform, governance, and business teams to deliver scalable and trusted enterprise data capabilities.
  • Contribute to enterprise modernization initiatives supporting analytics, operational efficiency, and AI enablement across the organization.

Benefits

  • Competitive salary
  • Incentive pay
  • Banking benefits
  • Benefits program
  • Defined benefit pension plan
  • Employee share purchase plan
  • Vacation offering
  • Wellbeing support
  • MomentMakers, our social, points-based recognition program
  • Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
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