Principal Data Architect

Robots & Pencils

. Set data architecture standards across warehouses, data lakes, and lakehouse environments .

Posted 10/15/2026full-timeRemote • Canada, United StatesLead💰 $170,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

Vault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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