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 Motive delivering data infrastructure for the AI era. Collaborating with stakeholders, building models, and implementing innovative tooling.
Responsibilities
- Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
- Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
- Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
- Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
- Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
- Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
- Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.
Requirements
- 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
- Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
- Hands-on experience with:
- Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
- Data Transformation: dbt
- Orchestration & ETL: Airflow, Fivetran, Airbyte
- Cloud Platform: AWS
- Programming/Ingestion: Python
- Infrastructure as Code: Terraform
- AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
- A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
- Excellent communication skills and experience working cross-functionally.
- Self-starter with the ability to self-project manage work
- A user focus with the ability to understand how a data consumer will use the data products you build
Benefits
- Health, pharmacy, optical and dental care benefits
- Paid time off
- Sick time off
- Short term and long term disability coverage
- Life insurance
- 401k contribution
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