Administrateur principal de plateformes de données chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Conception, exploitation et gouvernance de plateformes de données infonuagiques.
About the role
- AI-first Data Engineer building Petal’s governed, AI-ready data platform for healthcare technology. Developing semantic data models, ML pipelines, and AI-assisted engineering capabilities.
Responsibilities
- Partner with product, engineering, customer-facing teams, and business users to build trusted, well-modelled, AI-ready data products
- Define and implement a semantic layer for human, BI-tool, and AI-system data consumption
- Support a federated BI model enabling safe self-service insights
- Use AI tools daily to accelerate development, testing, documentation, debugging, analysis, and design
- Establish practical AI-first development patterns for the team
- Lead by example in using AI while maintaining quality, security, governance, and trust
- Own the ongoing operation of services beyond development
- Participate in the Enterprise On-Call and Incident Response Process
- Teach, coach, and influence colleagues adopting AI-first ways of working
Requirements
- Strong data engineering experience, including SQL, data modelling, data processing pipelines, testing, documentation, and data integrations in production environments
- Ability to build high-quality data products with clear ownership, definitions, tests, lineage, and governance
- Strong understanding of AI-ready semantic modelling, metrics, business definitions, secure API data exposures, and self-service analytics
- Platform/product mindset supported by expertise in cloud infrastructure and DevOps, data architecture, and reusable capabilities
- Comfort working in a small team where ownership, initiative, and communication matter
- Demonstrable experience using AI tools in real engineering work, such as Cursor, Claude, ChatGPT, Copilot, or similar
- Ability to teach, coach, and influence others toward AI-first ways of working
- Experience building machine-learning pipelines for enterprise-class software solutions
- Ability to clearly articulate a personal journey into Data Engineering and AI-first development, with real examples of AI improving delivery
- Ability to explain AI tools used, validation and review of AI-generated outputs, AI limitations, and risk management
- Experience in regulated, privacy-sensitive, or healthcare-related data environments would be helpful
- Experience with Snowflake Cloud, dbt, Airbyte, Airflow, Python, Terraform, Kubernetes, Helm, Azure Cloud, Kafka, Debezium, GitLab, prompt engineering, vector databases, LangChain/LangGraph, and Matillion
- Candidates must have authorization to work in Canada
Benefits
- Recurring hybrid work allowance
- Compensation that recognizes your contribution
- 4 to 6 weeks of paid vacation per year
- 5 paid personal days per year
- Group RRSP / DPSP plan with employer contribution
- Complete group insurance plan from day 1
- Annual wellness allowance
- Access to the Lumino Health™ telehealth application
- Flexible work hours
- Option of teleworking up to the maximum flexibility permitted by the nature of the position and smooth running of operations
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