
Data Platform Architect
- Sherbrooke, QC
- Permanent
- Temps-plein
- Architect end-to-end solutions on GCP and/or Snowflake, balancing performance, scalability, costs, and security.
- Define real-time integration schemas (Apigee X, microservices, Google Pub/Sub) to connect transactional systems (SAP, Salesforce) to analytical and operational applications.
- Prototype concretely: rapidly develop POCs in Python and Java to validate concepts, then transform these learnings into robust production designs.
- Guide data solutions, reporting to the Data Solution team lead, and mentor engineers on best practices in interface development, data modeling, ELT/ETL, CI/CD, and DevOps (Bitbucket, Jira).
- Work closely with Enterprise Architecture to ensure alignment with global standards while introducing innovative tools and approaches.
- Facilitate and lead design reviews: make informed decisions on schemas, APIs, SLAs, and governance, assuming trade-offs and responsibilities.
- Promote knowledge sharing and continuous improvement: organize internal training, write clear documentation, and foster a culture of experimentation.
- Master's degree (or equivalent) in Computer Science, Engineering, or a related field.
- 10+ years of hands-on experience delivering large-scale data and integration solutions, including 3+ years in an architect or technical leadership role.
- Proven expertise in Snowflake, DBT, and cloud-native architectures (GCP or equivalent).
- Proficiency in Python and Java, capable of producing both POCs and production code.
- Solid experience in API design (REST/GraphQL, OAuth) and event-driven architectures (Apigee X, Pub/Sub).
- Good knowledge of data models (dimensional, Data Vault, CDC/SCD) and data governance best practices.
- Regular use of CI/CD pipelines, automated testing, and infrastructure as code (Bitbucket, Terraform).
- Excellent communication skills in French and English, comfortable presenting complex architectures to technical and executive audiences.
- A leader, determined, action-oriented, and passionate about mentoring diverse teams.
- Certifications such as SnowPro Architect, Google Professional Cloud Architect, or TOGAF.
- Hands-on experience with large-scale integration on SAP or Salesforce.
- Familiarity with Monte Carlo (data observability) and Collibra (metadata governance).
- Exposure to real-time analytics, ML pipelines, or semantic modeling in Power BI.
- Proven success in leading cross-departmental initiatives in a regulated environment.