Manager, Data Engineering
About The Position
Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris' business, operational, and analytics needs. This role owns execution of the data platform roadmap, including the Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems, while partnering with architecture, governance, security, and product stakeholders to implement enterprise data capabilities. You will build and coach a high-performing engineering team across onshore and offshore operations, embedding MLOps and DataOps practices, CI/CD, and Infrastructure as Code (IaC) to accelerate delivery. Success is measured by platform reliability, engineering excellence, sustained compliance with PCI DSS and data quality standards, and adoption of data solutions across the enterprise.
Requirements
- University degree in Computer Science, Engineering, or a related discipline; equivalent experience considered.
- 7+ years of progressive experience in data engineering and data platform delivery, including leading teams on large-scale enterprise solutions.
- Hands-on expertise with modern data platforms (Snowflake, Databricks, DBT), data lakes, warehouses, and streaming technologies.
- Proficiency with SQL, NoSQL, and distributed data processing frameworks on cloud platforms (AWS, Azure, or GCP).
- Programming and scripting proficiency in Python, Scala, or Java.
- Demonstrated people leadership with the ability to coach, develop, and retain high-performing engineering teams.
- Strong stakeholder management, problem-solving, and communication skills across technical and business audiences.
Responsibilities
- Lead the data engineering function, providing direction, coaching, and people leadership to build a high-performing team.
- Drive Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems.
- Manage onshore and offshore support and data operations teams for reliable delivery and operational efficiency.
- Oversee design, build, and operation of scalable, secure batch and real-time data solutions across cloud environments.
- Establish engineering standards, MLOps/DataOps pipelines, CI/CD, and automated testing and data quality frameworks.
- Enforce PCI DSS, security, coding standards, version control, deployment automation, and Infrastructure as Code (IaC) practices.
- Partner with architecture, governance, security, and product stakeholders to deliver enterprise data capabilities aligned to standards.
- Monitor platform health, optimize cost and performance, and lead delivery planning, prioritization, and stakeholder communication.
Benefits
- balancing in-office collaboration with remote flexibility
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
