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Data Manager Jobs in Halton, ON (NOW HIRING)

Manager, Data Engineering

Toronto, ON · Hybrid

CA$124K - CA$160K/yr

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 ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on data analysis ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on data analysis ...

Our team - SMB Business Intelligence team is seeking Manager-Data & AI Transformations, with a focus on Customer data and automation.. This role requires a passion for developing data strategies ...

Manager, Data & AI Transformations

Toronto, ON · On-site

CA$109K - CA$155K/yr

Our team - SMB Business Intelligence team is seeking Manager-Data & AI Transformations, with a focus on Customer data and automation.. This role requires a passion for developing data strategies ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical frameworks that ...

The Data Quality Management Lead is responsible for designing, implementing, and operationalizing the enterprise Data Quality (DQ) framework across business domains. This role ensures that critical ...

Showing results 21-40

Data Manager information

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

What cities near Halton, ON are hiring for Data Manager jobs?

Cities near Halton, ON with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Halton, ON as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Manager, Data Engineering

Moneris

Toronto, ON • Hybrid

CA$124K - CA$160K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

Your Moneris Career - The Opportunity
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.

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 $124,000 - $160,000.

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 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.

Your Moneris Career - What you bring

Required Qualifications

  • 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.

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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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.