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.
About the role
- CDP Architect leading the design and build of a Customer Data Platform for cannabis retail. Seeking hands-on architect for scalable data capabilities and compliance in a regulated industry.
Responsibilities
- Design and build the CDP from scratch: data ingestion, identity resolution, unified profile, activation.
- Establish a multi-tenant architecture with data isolation by client and by state.
- Build the AI enrichment layer: segmentation, predictive models (CLV, churn, propensity, next-best-product), and LLM-based preference enrichment.
- Ensure privacy-by-design and compliance in a regulated vertical.
- Work cross-functionally with product, engineering, marketing, and clients.
Requirements
- Experience building a CDP from scratch (0→1) or scaling one substantially - not just operating someone else's solution.
- Identity resolution: deterministic and probabilistic profile matching.
- Data engineering: ingestion pipelines, streaming, warehouse/lakehouse, reverse ETL.
- ML for customer data: segmentation, propensity/churn/CLV, recommendation approaches; understanding of how to embed LLM enrichment.
- Experience in building preference capturing engines
- Privacy/compliance: GDPR/CCPA, consent management, data minimization.
- Multi-tenant SaaS architecture and data isolation.
- Understanding of the martech ecosystem and channel activation.
Benefits
- 100% remote – We’re a remote-first company, no offices needed!
- Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
- 20 paid vacation days per year
- 12 holidays per year
- 3 sick leave days
- Medical insurance after probation
- Equipment reimbursement (laptops, monitors, etc.)
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Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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