Senior Manager, Data Engineering
Reads like a Data Leadership role: running a data team.
Toronto
- Pay
$142,000–177,000/year · BaseAnnual period assumed — pay source
Posting Type: Replacement Position Salary Range: 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. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.
Read the full posting- Work setting
Working pattern needs review — work setting source
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 intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes. Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility. Reporting Relationship: You will report to the Director, Data Engineering
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead and develop a data engineering team through coaching and performance management
Lead the Snowflake migration and modernization of legacy data warehouse environments
Oversee design and operation of secure, scalable batch and real-time data solutions
Build and enhance CI/CD pipelines, automated testing, and data quality controls
Enable DataOps and MLOps practices, including feature engineering pipelines
From the employer’s posting
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.
Build and enhance CI/CD pipelines, automated testing frameworks, and data quality controls.
Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- Experience leading enterprise Snowflake migration and modernization programs.
- Experience supporting machine learning platforms and feature engineering pipelines.
- Experience implementing Infrastructure as Code (IaC) frameworks.
Qualification wording
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.
Experience leading enterprise Snowflake migration and modernization programs.
Experience supporting machine learning platforms and feature engineering pipelines.
Experience implementing Infrastructure as Code (IaC) frameworks.
Tools in this posting
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- GCP
- NoSQL
- Snowflake
Source — Tool mentions in context
- 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 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 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.
- 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.
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 intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes. Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.
- Define and execute the roadmap for enterprise data platforms, pipelines, and services. - 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.
Preferred Qualifications - Experience leading enterprise Snowflake migration and modernization programs. - Experience supporting machine learning platforms and feature engineering pipelines.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 132 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 19, 2026 · 132 days ago
- Recorded sightings
- 87
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on moneris.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Your Moneris Career – The Opportunity
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 intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes.
Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.
Reporting Relationship: You will report to the Director, Data Engineering
Posting Type: Replacement Position
Salary Range: 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. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.
Your Moneris Career – What you’ll do
Lead and develop a high-performing Data Engineering team through coaching, mentorship, and performance management.
Define and execute the roadmap for enterprise data platforms, pipelines, and services.
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.
Establish engineering standards, development practices, and operational processes to improve platform reliability and performance.
Partner with Architecture, Governance, Security, and Product teams to implement enterprise data capabilities.
Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.
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.
Monitor platform health through observability, service metrics, incident management, and continuous improvement.
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.
Your Moneris Career – What you bring
Required Qualifications
University degree in Computer Science, Engineering, or a related discipline; equivalent experience will be considered.
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.
Strong stakeholder management and communication skills with the ability to influence cross-functional teams and executive stakeholders.
Proven ability to balance strategic planning with execution and operational excellence.
Preferred Qualifications
Experience leading enterprise Snowflake migration and modernization programs.
Experience supporting machine learning platforms and feature engineering pipelines.
Experience implementing Infrastructure as Code (IaC) frameworks.
Your Moneris Career - What you get
At Moneris, we believe in empowering you to succeed—personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.
Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).
Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.
Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.
Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.
Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.
Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.
Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.
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#TECH-IND
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.
We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Posting Type: Replacement Position Salary Range: 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. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.
- Location & working pattern
Toronto
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 intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes. Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility. Reporting Relationship: You will report to the Director, Data Engineering
More source context
- Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives. - Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs. - Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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