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Data Protection Manager Jobs in Quebec (NOW HIRING)

Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data ... and data protection measures. Experience implementing governance best practices to ensure data ...

SAML, SiteMinder, Kerberos, OpenID 2. Entitlements and identity management 3. Data protection, data leakage prevention and secure data transfer and storage 4. App Security - validation checking ...

Lead data center due diligence and design teams to deliver projects that meet the client ... protection, ICT, and BMS/EPMS. * Manage project resources, including onboarding/offboarding staff ...

Ensure the security of IT systems and data, implementing best practices for data protection and ... Engage with other managers to align IT strategy with business goals, demonstrating strong business ...

Ensure the security of IT systems and data, implementing best practices for data protection and ... Engage with other managers to align IT strategy with business goals, demonstrating strong business ...

... Senior Manager, Data Management and will contribute to the development and execution of plans, policies, and practices that control, protect, deliver and enhance the value of BLG's data and ...

Data Associate

Montreal, QC · On-site

CA$59.50K - CA$84K/yr

CUSTOMER * Perform data analysis and assist in assessing data management requirements for a ... Protect the interests of the organization - identify and manage risks, and escalate non-standard ...

Demonstrated experience building, scaling, or managing compliance programs (e.g., anti-corruption, data protection, trade controls, ethics) in a multi-jurisdictional organization. * A strong ...

Draft, review, and manage a range of legal agreements, including vendor and service provider ... Champion compliance with privacy and data protection regimes. * Monitor developments in national ...

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Data Protection Manager information

See Quebec salary details

$26K

$107K

$169K

How much do data protection manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data protection manager in Quebec is $107,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $133,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Protection Manager, and why are they important?

To thrive as a Data Protection Manager, you need expertise in data privacy laws, risk management, and compliance frameworks, typically supported by a degree in law, IT, or information security and relevant certifications such as CIPP/E or CIPM. Familiarity with data mapping tools, data loss prevention (DLP) systems, and privacy management software is essential. Outstanding communication, attention to detail, and problem-solving abilities help navigate complex regulations and foster a culture of compliance across the organization. These skills ensure the organization's data is protected, legal obligations are met, and reputational risks are minimized.

How does a Data Protection Manager typically collaborate with other departments to ensure compliance with data privacy regulations?

A Data Protection Manager works closely with departments such as IT, legal, HR, and operations to ensure that data handling practices comply with relevant privacy laws and company policies. They provide guidance and training to staff, review processes for potential data risks, and coordinate responses to data breaches or requests from regulatory authorities. Regular communication and collaboration are essential to identify potential issues early and implement effective data protection measures across the organization.

What does a Data Protection Manager do?

A Data Protection Manager is responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR. They develop and implement policies and procedures to safeguard personal and sensitive data, conduct risk assessments, and provide training to staff. Additionally, they handle data breach responses and act as the main point of contact for data protection authorities. Their work is crucial for minimizing data-related risks and maintaining customer trust.

What is the difference between Data Protection Manager vs Data Security Analyst?

AspectData Protection ManagerData Security Analyst
CertificationsISO 27001, CISM, CISSPCISSP, CompTIA Security+
Work EnvironmentOversees data protection policies, manages compliance, and implements data security strategiesMonitors security systems, analyzes threats, and responds to security incidents
Industry UsageUsed across industries to ensure data privacy and complianceFocuses on identifying vulnerabilities and securing data systems

The Data Protection Manager primarily develops and enforces data privacy policies, ensuring compliance with regulations. In contrast, the Data Security Analyst focuses on monitoring security threats and implementing technical safeguards. Both roles are essential for comprehensive data security but differ in scope and responsibilities.

Specialist, Data Engineering

Specialist, Data Engineering

Cogeco

Montreal, QC

Full-time

Posted 12 days ago


Job description

Our culture lifts you up-there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type:RegularJob Description :

JOB SUMMARY:

Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for designing,
developing, and maintaining data integration and transformation processes in our cloud-based
data platform. While experience in Google Cloud Platform (GCP) is a significant asset,
candidates with proven expertise in other major cloud platforms (AWS, Azure) will also be
considered. This role emphasizes data governance, classification, and compliance-leveraging
tools such as Collibra to ensure high-quality, secure, and well-documented data assets.

Relevant du Gestionnaire, Ingenierie des Donnees, le Specialiste en Ingenierie de donnees est responsable de la conception, du developpement et de la maintenance des processus d'integration et de transformation des donnees sur notre plateforme de donnees basee sur le cloud.

Key Responsibilities

1. Data Integration & Architecture

Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files...etc.) into a cloud-based environment and move data around multiple system based on the business needs and requirements.

Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g. BigQuery or other cloud-based relational databases).

Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access.

2. Data Governance & Classification

Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation.

Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies.

Work closely with stakeholders to uphold best practices for data security, compliance, and privacy.

3. Process Improvement & Automation

Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness.

Automate manual tasks using scripting languages (e.g., Bash, Python) and

Enterprise scheduling/orchestration tools like Airflow.

Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability.

4. Cross-Functional Collaboration

Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.

Provide subject matter expertise on cloud data services, data classification standards, and governance tools.

Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals.

Skills & Qualifications

Technical Expertise

Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset.

Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance.

Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow.

Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata.

Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP).

Data Pipeline Development

Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes.

Hands-on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling.

Strong analytical and problem-solving skills with the ability to work with unstructured datasets.

Security & Compliance

Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures.

Experience implementing governance best practices to ensure data security and regulatory compliance.

Soft Skills

Excellent communication and collaboration skills to partner effectively with cross-functional teams.

Curiosity and a growth mindset, with the initiative to explore emerging data technologies.

Bilingualism (written and spoken) is an asset to interface with stakeholders in Ontario and across the United-States.

Education & Experience

Bachelor's degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience.

5 years of progressive experience in data engineering, data analytics, or a similar role.

Proven track record in architecting, optimizing, and delivering enterprise-grade data solutions on a major cloud platform (AWS, Azure, or GCP).

Demonstrated commitment to continuous learning and improvement in data engineering methodologies.

If you're passionate about leveraging cloud technologies to build efficient, scalable data

Pipelines-and ensuring that data remains well-classified, well-governed, and accessible-we'd love to hear from you!

You'll benefit from:

Flexibility: Yes, we think that what you do matters. At work and at home.

Fun: We laugh a lot, it makes every day brighter.

Discounted services: We provide amazing services to our clients, and you'll get them at home, because you deserve them.

Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.

Benefits: We've got you covered.

Career Evolution: Join us and we will give you the tools to achieve your career goals!

Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

Location :Montreal, QCCompany :Cogeco Communications Inc.

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we're doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.


If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com