Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
About the role
- Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross-functionally to develop high-quality data models and standards.
Responsibilities
- Design & deliver modular, production-grade data models : Translate raw data into well-tested, performant datasets and reusable building blocks for downstream consumers (analytics, dashboards, ML).
- Build and govern the semantic layer : Define and maintain standardized business metrics and semantic objects so teams and AI systems share a single source of truth.
- AI data strategy & unstructured data tooling : Design data lifecycles for AI use cases—ingestion, embedding, RAG, and model-centric data plumbing—and convert unstructured signals (transcripts, documents, emails) into AI-ready assets.
- Model observability & lineage. Implement monitoring, lineage, and auditability so we can trace what data influenced an analytic or AI output and detect data quality regressions.
- Governance & cross-team enablement. Partner with Data Engineering, RevOps, Product, and other stakeholders to set modeling standards, manage dbt access and ownership boundaries, and enable “self-service” analytics across the company.
- Engineering best practices. Apply software engineering principles to the data stack: dbt or similar transformation frameworks, Git, CI/CD, environments (dev/stage/prod), testing, and code review.
- Mentorship & standards. Help grow the team by setting modeling standards, reviewing peer work, and mentoring junior modelers/analysts.
Requirements
- 5+ years experience in data architecture, data modeling, analytics engineering, or a related role building production data models and semantic layers.
- SQL expert. Able to write efficient, maintainable SQL for complex transformations and to optimize performance in a cloud warehouse.
- Hands-on experience with dbt (or equivalent) and Git/CICD for data transformations and model deployment.
- Proven track record designing metrics/semantic layers and ensuring a “single source of truth” for business definitions.
- Experience with observability & lineage tooling, or designing data quality and audit processes for analytic/ML outputs.
- Strong cross-functional communication skills; comfortable translating ambiguous business questions into reliable data artifacts and enabling non-technical consumers.
Benefits
- Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
- Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
- Flexible time off policy, with an encouraged 20 days off per year.
- $2000 annual counseling benefit
- RRSP matching and RESP contribution
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
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