Principal Data Architect

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Establish data architecture standards across various environments, including warehouses, data lakes, and lakehouse settings.

• Develop strategies for data and AI governance, covering aspects such as lineage, quality, cataloging, access control, and evaluation data.

• Define the vision and orchestration for batch and streaming data systems at scale.

• Advocate for enterprise data modeling practices across dimensional, Data Vault, data mesh, and data product frameworks.

• Manage foundational data structures for AI/ML, which encompass feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines.

• Design semantic layers, knowledge graphs, and pipelines for unstructured data.

• Promote infrastructure as code, CI/CD, and observability standards.

• Enhance performance, scalability, cost-efficiency, and reliability across the data ecosystem.

• Oversee security, governance, and compliance measures related to data assets.

• Prototype solutions, produce production code, and evaluate designs and pull requests.

• Leverage modern AI assistants to elevate the quality and speed of delivery.

• Collaborate with senior leadership and clients as the lead technical advocate for data strategy.

• Assist in pre-sales activities and engage in client discussions.

• Articulate complex data architecture concepts to both technical and executive audiences.

• Align data architecture initiatives across engineering, AI, analytics, and product divisions.

• Create documentation, modeling, governance, and data contract standards.

• Develop reusable accelerators, reference architectures, and templates.

• Mentor skilled engineers and architects.

• Act as the senior technical authority for challenging architecture and integration issues.

• Assess emerging technologies and suggest enhancements to tools and methodologies.

⛳️ Requirements

• Extensive senior-level experience in data architecture across warehouses, data lakes, and lakehouse environments.

• Familiarity with medallion architecture and open table formats.

• Understanding of data governance, lineage, quality, cataloging, access control, and evaluation data.

• Proven experience in defining and orchestrating batch and streaming data systems at scale.

• Proficient in dimensional modeling, Data Vault, data mesh, and data product paradigms.

• Experience in architecting AI/ML data foundations, including feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines.

• Knowledge of semantic layers, knowledge graphs, and pipelines for unstructured data such as documents, text, images, and audio.

• Expertise in infrastructure as code, CI/CD, and observability practices.

• Awareness of GDPR, HIPAA, SOC2, PII, data residency, and audit readiness standards.

• Experience in production coding and reviewing pull requests.

• Familiarity with Claude, Cursor, or similar modern AI assistants.

• Ability to collaborate with senior leadership and clients on data strategy and platform direction.

• Capability to assist in pre-sales through solution development, scoping, estimates, proposals, and client interactions.

• Proficient in mentoring experienced engineers and architects.

• Ability to evaluate new technologies and suggest appropriate tools, frameworks, and methodologies.

• Background check may be necessary.

• Must be located in Canada or the United States.

🏝️ 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 prior permission.