Moneris

Moneris

Senior Manager, Data Engineering

Toronto · Senior

Sponsorship not specified$142k-$177kDetected 30 days ago
PythonJavaScalaSQLNoSQLSnowflakeAWSAzureCloud PlatformsCI/CDMachine LearningData EngineeringMLOpsStakeholder ManagementTest AutomationCommunicationCollaborationMentoring

About the role

  • As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms that power Moneris' business operations, analytics, and data-driven decision-making.
  • This role offers the opportunity to shape the future of Moneris' enterprise data ecosystem through platform modernization, cloud transformation, and engineering excellence. You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business

Responsibilities

  • Lead and develop a high-performing Data Engineering team through coaching, mentorship, and performance management.
  • Lead Snowflake migration initiatives and modernization of legacy enterprise data warehouse (EDW) environments.
  • Oversee the design, development, and operation of secure, scalable batch and real-time data solutions.
  • Partner with Architecture, Governance, Security, and Product teams to implement enterprise data capabilities.
  • Build and enhance CI/CD pipelines, automated testing frameworks, and data quality controls.
  • Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best practices.
  • Optimize data platform performance, scalability, operational efficiency, and cloud spend.
  • Lead prioritization and delivery of strategic data engineering initiatives while managing risks and stakeholder expectations.
  • We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.

Requirements

  • University degree in Computer Science, Engineering, or a related discipline
  • 10+ years of progressive experience in Data Engineering and enterprise data platform delivery.
  • Experience leading engineering teams and delivering large-scale data solutions in complex enterprise environments.
  • Hands-on experience with modern data platforms such as Snowflake and Databricks.
  • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.
  • Strong knowledge of cloud platforms including AWS, Azure, or GCP.
  • Experience with SQL, NoSQL, and distributed data processing frameworks.
  • Proficiency in Python, Scala, Java, or similar programming languages.
  • Experience establishing engineering standards, CI/CD practices, automation frameworks, and operational processes.
  • Strong understanding of DataOps, MLOps, data quality, security, and governance principles.

Nice to have

  • Experience leading enterprise Snowflake migration and modernization programs.
  • Experience implementing Infrastructure as Code (IaC) frameworks.
  • We understand that systemic barriers may contribute to imposter syndrome for some candidates.
  • We encourage you to apply even if you do not meet every qualification listed.
  • Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.
  • AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications.
  • All AI outputs are reviewed and validated by our recruitment team.

Skills

  • Your Moneris Career - The Opportunity
  • Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Compensation

  • The expected base salary range for this role is $142,000 - $177,000
  • Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions.

Benefits

  • Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.
  • Monitor platform health through observability, service metrics, incident management, and continuous improvement.

Company info

  • At Moneris, we believe candidates bring experience to their work in many ways.
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This listing is sourced directly from Moneris's careers page and normalized into a canonical job model.