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Robots & Pencils
Robots & Pencils
51 – 200 Employees
Artificial IntelligenceB2BSaaS
Robots & Pencils is a digital innovation firm helping businesses turn emerging technology into practical digital products and strategies. Its work spans mobile and web development, product design, UX research, artificial intelligence, machine learning, and organizational change management. The company combines creative problem-solving with technical expertise to uncover value in data, support product innovation, and create stronger customer experiences across AI, B2B, and SaaS environments.
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Principal Data Architect (Canada Remote)

Set data architecture direction for enterprise AI systems at Robots & Pencils, building scalable, governed platforms. Advise clients and mentor senior technical teams.

CACanadaUSUnited States
$170,000 – $240,000 / year
RemoteFull-timeLeadEnglish RequiredData Engineer
Vault

Description

  • Set architecture standards for data warehouses, lakes, and lakehouses.
  • Develop data and AI governance strategies covering lineage, quality, catalogs, access controls, and evaluation data.
  • Define scalable batch and streaming systems and orchestration approaches.
  • Guide enterprise modeling across dimensional, Data Vault, data mesh, and data product approaches.
  • Lead AI/ML data foundations, including feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines.
  • Design semantic layers, knowledge graphs, and pipelines for unstructured data.
  • Set standards for infrastructure as code, CI/CD, and observability.
  • Improve performance, scale, cost efficiency, and reliability across data platforms.
  • Oversee security, governance, and compliance for data assets.
  • Prototype solutions, write production code, and review designs and pull requests.
  • Apply modern AI assistants to improve delivery quality and speed.
  • Advise senior leaders and clients on data strategy as the principal technical voice.
  • Contribute to pre-sales work and client discussions.
  • Explain complex data architecture to technical and executive audiences.
  • Coordinate architecture across engineering, AI, analytics, and product teams.
  • Set standards for documentation, modeling, governance, and data contracts.
  • Create reusable accelerators, reference architectures, and templates.
  • Coach experienced engineers and architects.
  • Make senior technical decisions on complex architecture and integration challenges.
  • Assess emerging technologies and recommend better tools and patterns.

Requirements

  • Bring senior expertise in architecture for warehouses, data lakes, and lakehouses.
  • Have experience with medallion architecture and open table formats.
  • Understand data governance, lineage, quality, cataloging, access control, and evaluation data.
  • Have experience defining large-scale batch and streaming systems and orchestration.
  • Bring expertise in dimensional modeling, Data Vault, data mesh, and data product approaches.
  • Have experience designing AI/ML data foundations, including feature stores, embeddings, vector stores, RAG, and real-time retrieval pipelines.
  • Have experience with semantic layers, knowledge graphs, and unstructured document, text, image, and audio pipelines.
  • Understand infrastructure as code, CI/CD, and observability.
  • Understand GDPR, HIPAA, SOC 2, PII, data residency, and audit readiness.
  • Have experience writing production code and reviewing pull requests.
  • Have experience using Claude, Cursor, or other modern AI assistants.
  • Be able to advise senior leaders and clients on data strategy and platform direction.
  • Be able to support pre-sales through solution design, scoping, estimates, proposals, and client discussions.
  • Be able to mentor experienced engineers and architects.
  • Be able to assess emerging technologies and recommend tools, frameworks, and patterns.
  • Be prepared for a background check if required.
  • Be located in Canada or the United States.

Benefits

  • Paid leave.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) matching for eligible employees.
  • RRSP matching for eligible employees.
  • Equal employment opportunity.
  • Background checks conducted in line with local law.
  • The employer will not contact your current employer without permission.

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