About the role
A role like this is open right now in Canada, at a small technology and information services company. You will define the architecture and engineering standards for the company's data platform and build the pipelines and data products behind analytics, actuarial, operational and AI/ML work. The role also sets the practices that keep that data trustworthy.
What you'll do
- Define the architecture and engineering standards for the data platform
- Build governed, reliable data pipelines and reusable data products
- Support analytics, actuarial, operational and AI/ML use cases
- Establish data quality, observability, security, lineage and incident-management practices
- Collaborate across teams and lead platform optimization
What you bring
- Experience building and running production data pipelines
- Ability to set engineering standards and architecture for a data platform
- Working knowledge of data quality, observability, security and lineage practices
- Comfort partnering with analytics, actuarial and AI/ML teams
Details
- Location: Canada
- Type: Full-time
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