Principal Data Architect

Job not on LinkedIn

🔥 3 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $170k - $240k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• 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