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Data Reviewer Jobs in Quebec (NOW HIRING)

Data Privacy Privacy Statement | CAE As part of our process, we may use AIsupported tools to help review applications, with human decisionmaking at every step. CAE thanks all applicants for their ...

In this role, you will design and improve scalable data solutions, help guide technical decisions, review and write code, support team members, and promote strong engineering practices. Platform ...

CA$114K - CA$127K/yr

Support security and compliance needs (vendor assessments for data tools, audit readiness, risk reviews, cybersecurity event response procedure) as applicable * Create lightweight training and ...

Apply modern software engineering practices: automated testing, CI/CD, code reviews, observability * Design and evolve high-quality analytical data models (Star/Snowflake schema) * Collaborate with ...

Applications are reviewed as they come in-don't wait, apply today and join our team. * Follow detailed instructions and understand UPC attributes for the purpose of data collection. * Maintain in ...

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Data Reviewer information

See Quebec salary details

$13

$23

$39

How much do data reviewer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data reviewer in Quebec is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $34.86 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

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

What Is the Job of a Data Reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

How does a Data Reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.
What are popular job titles related to Data Reviewer jobs in Quebec? For Data Reviewer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Quebec look for? The top searched job categories for Data Reviewer jobs in Quebec are:
What are popular job titles related to Data Reviewer jobs in QC? For Data Reviewer jobs in QC, the most frequently searched job titles are:
Infographic showing various Data Reviewer job openings in Quebec as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 44% In-person, 17% Hybrid, and 39% Remote job distribution, with an average salary of $49,350 per year, or $23.7 per hour.

Domain Architect, Enterprise Data Architecture

PSP Investments

Montreal, QC โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 3 days ago


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$299.7 billion of net assets as of March 31, 2025.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.

Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.

ABOUT THE TEAM

The Data Analytics Platform team is seeking to accelerate PSP's Data & Analytics capabilities. As data and AI usage grows across the organization, there is an increasing need to strengthen architectural coherence, establish scalable data foundations, and enable consistent reuse across domains.

ABOUT YOUR ROLE

The Domain Architect, Enterprise Data Architecture defines the enterprise data domain vision, target-state architecture, and multi-year roadmap aligned with enterprise architecture guiding principles, ensuring data is structured, reusable, and supports effective business decisions. Success in this role requires a strong technological background balanced with an orientation toward business outcomes; data architecture decisions must be driven by how the business creates value from data, while respecting technology imperatives.

As a Domain Architect, Enterprise Data Architecture, you'll:

  • Lead the enterprise data domain vision and target-state architecture aligned to enterprise architecture guiding principles

  • Define and maintain a multi-year roadmap for enterprise data capabilities and platforms, aligned to business priorities

  • Own and evolve PSP's data architecture principles, standards, and reference patterns

  • Define and maintain enterprise standards for data modeling/semantics, data product structure, and integration patterns to support clear ownership, semantic consistency, and reuse across domains

  • Act as design authority by reviewing and challenging designs, establishing decision frameworks and escalation paths, and preventing architectural drift

  • Ensure data foundations support advanced analytics and AI by enforcing readiness criteria including quality, lineage, consistency, and explainability, and evaluating decisions for scalability, reuse, and governance

  • Translate architecture principles into clear execution rules within a federated operating model, clarifying domain versus platform responsibilities and embedding governance-by-design including data quality expectations, certification controls, and traceability

  • Coach and mentor teams and stakeholders on data architecture practices, communicate architectural trade-offs, risks, and dependencies to technical and business stakeholders, and elevate data architectural maturity across teams

  • Research, assess, and experiment with emerging data and analytics technologies and patterns to meet evolving business needs, considering internal capabilities and market innovation

  • Actively contribute to the definition, promotion, and implementation of TDO strategic enterprise architecture vision, roadmap, and architectural guiding principles

WHAT YOU'LL NEED
  • Ten (10) + years in enterprise data architecture, data platforms, analytics architecture, or closely related experience

  • Bachelor's degree in computer science, finance and/or the equivalent combination of education in related fields

  • Proven experience establishing and governing data architecture at scale in complex, large-scale environments

  • Deep expertise in data modeling, semantics, and scalable data design; strong understanding of analytics/reporting/decision-use of data

  • Ability to translate business needs into durable data structures, standards, and roadmaps

  • Experience operating as a Domain Architect-setting direction and enforcing standards without direct hierarchical authority

  • Strong technological background and pragmatic mindset; able to simplify complexity and drive adoption across diverse stakeholders

  • Comfortable making and defending decisions in ambiguous environments

  • Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*Benefits package may vary based on your employee type.


At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

Visit us on www.investpsp.com/en/

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