Director of Engineering Data Platforms & Delivery

Location: Ontario or British Columbia, Canada (Remote)
Employment Type: Full Time

We are seeking an experienced Director of Engineering Data Platforms & Delivery to lead enterprise-scale data engineering programs, cloud platform modernization, and global engineering teams. The ideal candidate will have strong technical leadership, hands-on cloud data platform expertise, and a proven ability to deliver large-scale data initiatives while driving client success, operational excellence, and business growth.

• Lead enterprise data engineering and cloud platform delivery programs.
• Manage globally distributed engineering teams and technical leads.
• Drive modern data platform implementations using AWS, Snowflake, Databricks, Azure, or Google Cloud Platform.
• Provide technical leadership across Data Engineering, DataOps, SQL, Python, APIs, and CI/CD.
• Establish Agile delivery practices using Jira and Azure DevOps.
• Implement DataOps best practices including data quality, observability, lineage, and governance.
• Partner with business stakeholders and executives to define technology roadmaps.
• Support client engagement, solutioning, account growth, and engineering excellence.
• Mentor engineering managers and build high-performing delivery teams.

• 10 15 years of experience in Engineering Leadership, Data Engineering, or Program Delivery.
• Strong expertise with AWS and at least one active AWS certification.
• Experience delivering enterprise cloud data platforms.
• Hands-on knowledge of SQL and Python.
• Experience with Snowflake, Databricks, Azure, or Google Cloud Platform.
• Strong understanding of Agile, SDLC, CI/CD, and DataOps.
• Experience managing global engineering teams.
• Excellent stakeholder management and client-facing communication skills.

• Experience with Consent Management Platforms or Data Clean Rooms.
• Experience with API development and modern application delivery.
• Domain experience in Sports, Media, Entertainment, Gaming, Healthcare, Fitness, or Lifestyle.
• Experience supporting pre-sales, solutioning, and business development initiatives.

Engineering Leadership Data Engineering AWS Snowflake Databricks Data Platforms DataOps SQL Python Global Delivery Stakeholder Management Cloud Modernization