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Data Architect Jobs in Quebec (NOW HIRING)

Is a senior Data architect that can develop detailed and comprehensive conceptual data model * Is at ease defining business processes map, SIPOC, and business capabilities models * Can put a ...

In collaboration with the Director, Data & Analytics Solutions, the incumbent defines, evolves, and maintains the target data architecture and business intelligence ecosystem. The person in this role ...

Architect and implement Fabric solutions for data engineering (Spark), Data Factory pipelines , and real\-time analytics \/ Event streams aligned to digital product needs. \n * Build and standardize ...

This is a hybrid strategy-and-architecture role reporting to the Director, Data; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without ...

Data and Business Intelligence Architect Build a career that matters with one of the world's most respected employers! - - - - - - - - - - - - Make a difference as a Data and Business Intelligence ...

Architect Unified Governance: Establish and enforce enterprise-wide data governance, privacy standards, and data quality frameworks to guarantee data consistency, absolute reliability, and ethical ...

... architecture cible des données et des solutions d'intelligence d'affaires. Elle conçoit des ... Définir, documenter et faire évoluer les architectures de données (Data Warehouse, Data Lake ...

Oversee the architecture of migration scripts and ETL engines to ensure reliability and optimal performance * Lead the analysis and execution of complex or high-impact data migrations * Establish and ...

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Data Architect information

See Quebec salary details

$21

$65

$93

How much do data architect jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data architect in Quebec is $65.18, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $75.00 per hour, depending on experience, location, and employer.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure, including data models, databases, and data integration systems. They ensure data is stored securely, efficiently, and is accessible for analysis and decision-making, often using tools like SQL, cloud platforms, and data modeling software.

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

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills valuable across many industries.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

What are popular job titles related to Data Architect jobs in QC? For Data Architect jobs in QC, the most frequently searched job titles are:
Infographic showing various Data Architect job openings in Quebec as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $135,570 per year, or $65.2 per hour.

Full-time

Retirement

Re-posted 5 days ago


Job description

The Data & Analytics group is looking for a Data Architect with, BI and AI expertise who will be providing consulting services to our customers.

The candidate

  • Is a senior Data architect that can develop detailed and comprehensive conceptual data model
  • Is at ease defining business processes map, SIPOC, and business capabilities models
  • Can put a governance program in place with appropriate structure, committees and supporting processes and tools. And can define policies and enforce them for the full life cycle of data
  • Is a senior BI architect that can transpose the conceptual data model in dimensional models an ideally can go further by taking the dimensional models and physicalizing them on traditional and modern D&A platform.
  • The BI architect is also expected to create the dimensional metadata layer to be consumed by visualization software and/or thru API
  • Master one or more Cloud environments and has been involved in AI projects

Requirements

  • Has defined either 'home grown' DG solution or use tools such as Collibra, Cloudera EDH, Watson Knowledge Catalog or others
  • Must have a great experience in creating conceptual data models from scratch and have them physically implemented. This clearly is not only the ability to identify and define the right concepts but also the ability to have the concepts physically implemented and used in applications and dashboards
  • Can translate and animate sessions with businesspeople and other SMEs to either complete a started model or do one from scratch
  • Has done multiple snowflake and STAR model from a conceptual data model and/or directly
  • Has used and created multiple data layers including the use of metadata for exposing datamarts to visualisation tools
  • Can define the access rights management solution
  • Has implemented various regulations such as PIPED Act, GDPR, IFRS, SOX or others
  • Has used multiple Data Modeling tools and Enterprise Architecture tools (PowerDesigner, ErWin, Embarcadero, Sparx, CaseWise, BizzDesign, Aris, Alfabet AEM, Unicom System Architect, Orbus I-Server, etc.)
  • Possesses excellent written and verbal communication skills for coordinating across teams
  • Is driven to learn and master new technologies and techniques
  • Can understand rapidly the patterns and directions taken by the Practice Lead (former chief architect)
  • Can zero-in on ambiguous concepts and made them crystal clear rapidly
  • Is pragmatic (consider constraints) but not to the expense of faulty designs/concepts
  • Can discern fundamental and key aspects worth 'fighting for' versus the less 'important' ones
  • Is great at whiteboarding with customers and prospects. Excellent understanding of SQL (DDL and DML)
  • Understands asynchronous architecture using 'queue mechanisms' such as Event Hub/Kakfa
  • Has implemented the Data aspect related to COBIT
  • Is bilingual (French and English) preferred

Responsibilities

  • Work with our customers' stakeholders to identify opportunities for leveraging their data to produce insights allowing them to improve business processes or even innovate by changing the industry. The same assessment could also be used to identify constraints allowing to optimize (DO) business processes
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Assess, audit, and provide recommendations to help our customers move toward a modern D&A platform allowing them to scale their AI
  • Ensure that all models (conceptual to physical) are complete, coherent, and consistent
  • Help the data engineers from getting the data to the transformation toward the DataLake
  • Help the BA to have business requirements align with the data architecture and vice-versa. Data architects create generic to specific data concepts and they need to tie back to the business requirements. On the other hand, many times business requirements describe the how versus the what which is a constraint in itself
  • Assist sales efforts as SME from the D&A practice by meeting prospects and customers presenting the D&A offerings from KPI Digitals and participating in SOW
  • Handle and complete the deliverables started by the VP of D&A practice for internal and external projects
  • Guide and direct teams from architectural and governance perspective

What will make you successful here?

  • A desire to be accountable for owning problems from design to implementation
  • An understanding of the difference between data and useful insights
  • A bias for action and pragmatic solutions
  • A low ego and humility; an ability to gain trust through effective communication and doing what you say you will do
  • A talent for operating effectively at various levels of abstraction
  • An aptness to distill complex, technical topics articulately to a non-technical audience
  • Adaptability, flexibility and an ability to navigate ambiguity


  • Who is KPI Digital?:

KPI Digital has been helping clients meet their revenue goals for over 25 years. We specialize in Digital Transformation, Analytics & AI and Performance Management business solutions/services. More specifically Analytics, Digital Marketing, Big Data, Insights, Customer 360, Artificial Intelligence (AI), Machine Learning and Internet of Things (IOT). In addition, we offer Consulting Services, Managed Services, Packaged Services, Education and Training.

Are you seeking a new opportunity where you can make an impact and be recognized and compensated for your achievements? If this sounds intriguing, consider KPI Digital for your career, apply now!


Benefits

  • The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
  • Permanent, full-time job (40 hours a week).
  • Hybrid (work from home and/or office) and flexible schedule.
  • Competitive salary and bonus structure.
  • Attractive group insurance plan.
  • Retirement savings plan with matching.
  • Family company culture.
  • Flex-Fridays in the summertime.
  • Free use of the gym within building.
  • Subsidized catering service & free snacks at the office.
  • Vacation days plus 6 personal days per year.
  • Casual work environment: jeans-friendly!


Proudly a Great Place to Work!

As you bring your experience and skills to KPI Digital, you'll get a unique experience, ambitious growth, and limitless learning in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.

You'll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.