Data Architect governing World Vision Canada's nonprofit enterprise data architecture. Defining cloud data standards, governance, security and reusable platforms remotely within Canada.
About the role
- Principal Data Architect defining scalable, governed data platforms for Robots & Pencils’ enterprise AI systems. Setting architecture direction, supporting clients, and mentoring senior technical teams.
Responsibilities
- Set data architecture standards across warehouses, data lakes, and lakehouse environments
- Design data and AI governance strategies, including lineage, quality, cataloging, access control, and evaluation data
- Define batch and streaming data system vision and orchestration at scale
- Champion enterprise data modeling across dimensional, Data Vault, data mesh, and data product paradigms
- Own data foundations for AI/ML, including feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines
- Architect semantic layers, knowledge graphs, and unstructured data pipelines
- Drive infrastructure as code, CI/CD, and observability standards
- Optimize performance, scalability, cost, and reliability across the data estate
- Own security, governance, and compliance posture across data assets
- Prototype, write production code, and review designs and pull requests
- Use modern AI assistants to improve delivery quality and pace
- Partner with senior leadership and clients as the principal technical voice on data strategy
- Support pre-sales and participate in client conversations
- Communicate complex data architecture concepts to technical and executive stakeholders
- Align data architecture across engineering, AI, analytics, and product organizations
- Establish documentation, modeling, governance, and data contract standards
- Build reusable accelerators, reference architectures, and templates
- Mentor experienced engineers and architects
- Serve as senior technical decision-maker for difficult architecture and integration challenges
- Evaluate emerging technologies and recommend improved tools and patterns
Requirements
- Senior-level expertise in data architecture across warehouses, data lakes, and lakehouse environments
- Experience with medallion architecture and open table formats
- Knowledge of data governance, lineage, quality, cataloging, access control, and evaluation data
- Experience defining batch and streaming data systems and orchestration at scale
- Expertise in dimensional modeling, Data Vault, data mesh, and data product paradigms
- Experience architecting AI/ML data foundations, including feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines
- Experience with semantic layers, knowledge graphs, and unstructured data pipelines for documents, text, images, and audio
- Knowledge of infrastructure as code, CI/CD, and observability
- Knowledge of GDPR, HIPAA, SOC2, PII, data residency, and audit readiness
- Production coding and pull request review experience
- Experience with Claude, Cursor, or other modern AI assistants
- Ability to partner with senior leadership and clients on data strategy and platform direction
- Ability to support pre-sales through solution approaches, scoping, estimates, proposals, and client conversations
- Ability to mentor experienced engineers and architects
- Ability to evaluate emerging technologies and recommend tools, frameworks, and patterns
- Background check may be required
- Canada or United States work location
Benefits
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) matching for eligible employees
- RRSP matching for eligible employees
- Equal employment opportunities
- Background check conducted in accordance with local legislation
- Current employer will not be contacted without permission
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