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Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Atlassian JIRAunmatched
Best Practicesunmatched
Business Developmentunmatched
Business Growthunmatched
Cleanroomunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Customer Relationsunmatched
Customer Support/Serviceunmatched
Data Cleaningunmatched
Data Qualityunmatched
DevOpsunmatched
Engineering Managementunmatched
Entertainment and Mediaunmatched
Fitnessunmatched
GCP (Good Clinical Practices)unmatched
Gamingunmatched
Healthcareunmatched
Housekeeping/Cleaningunmatched
Leadershipunmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Pre-Salesunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Sales Supportunmatched
Snowflake Schemaunmatched
Software Development Lifecycle (SDLC)unmatched
Software Engineeringunmatched
Solution Salesunmatched
Sportsunmatched
Team Lead/Managerunmatched
Technical Leadershipunmatched
Description
Location: Ontario or British Columbia, Canada (Remote) Employment Type: Full Time
Job Summary
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.
Key Responsibilities
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 GCP.
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.
Required Qualifications
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 GCP.
Strong understanding of Agile, SDLC, CI/CD, and DataOps.
Experience managing global engineering teams.
Excellent stakeholder management and client-facing communication skills.
Preferred Qualifications
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.
One-Line Summary
Engineering Leadership Data Engineering AWS Snowflake Databricks Data Platforms DataOps SQL Python Global Delivery Stakeholder Management Cloud Modernization