Architecte de données sénior concevant des architectures analytiques et gouvernance des données pour les transformations numériques de Wepoint. Travail flexible à Montréal ou Québec, en mode hybride, distant ou sur site.
About the role
- Data Engineer at RAVL designing, building, and operating data pipelines for decision-making. Transforming raw data into reliable assets for analytics and machine learning.
Responsibilities
- Design and build robust, scalable ETL/ELT data pipelines using modern frameworks and cloud-native tooling
- Develop data models and architectures that enable efficient analytics and reporting
- Implement data ingestion, transformation, and quality checks across multiple sources and domains
- Leverage cloud services (AWS, Azure, or GCP) to design secure, cost-efficient, and maintainable data systems
- Work closely with platform and software engineers to integrate data flows into broader application ecosystems
- Ensure observability, reliability, and governance across pipelines and data products
- Collaborate with analysts, architects, and stakeholders to translate business requirements into technical data solutions
- At higher levels: mentor peers, contribute to data architecture decisions, and influence standards across teams
Requirements
- Strong experience designing and maintaining data pipelines using tools like Spark, Airflow, dbt, or similar
- Proficiency in SQL and one or more programming languages (Python, Java, or Scala)
- Hands-on experience with cloud data ecosystems — AWS (Glue, Redshift), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
- Understanding of modern data warehousing, streaming, and lakehouse architectures
- Experience with CI/CD for data workflows and version-controlled transformations
- Familiarity with data governance, cataloging, and security best practices
- Consulting excellence: communicates clearly, delivers visibly, and adapts to evolving business contexts.
Benefits
- Flexible, client-aligned work model — autonomy with accountability, adapting to client delivery needs.
- Variable bonus & RRSP contributions tied to performance and delivery impact.
- 4 weeks paid time off (plus public holidays).
- Paid professional development days and continuous learning opportunities.
- Comprehensive health & dental coverage, including mental health support.
- Commitment to lifelong learning — continuous improvement through training, mentorship, and certification.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Streaming Data Engineer building scalable Bronze, Silver, and Gold data pipelines for PLATO’s public sector clients. Managing real - time ingestion, processing, security, and data quality.
Senior Data Architect designing governed, event - driven healthcare data platforms for Wepoint. Leading Fabric, Power BI, ETL, and analytics architecture for Québec health - network transformations.
Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
Senior Data Engineer architecting cloud data platforms and pipelines for Arc’teryx supply chain analytics. Leading migrations, governance, observability, and engineering mentorship.
Senior Data Engineer improving General Motors vehicle data pipelines, monitoring, and observability. Supporting reliable fleet software operations across Oshawa and Markham hybrid offices.
Senior software engineer building General Motors’ vehicle data platform across ECUs and cloud. Developing control, data, logging, and SDK software for connected vehicles.
Senior Data Architect integrating Alberta’s environmental regulatory, Databricks, and geospatial platforms. Designing governed data flows for regulators, decision - makers, and Albertans.
Senior Data Architect leading secure, scalable data architecture for Manulife’s financial services organization. Designing cloud, lakehouse, analytics, machine learning, and generative AI data platforms.
Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.