Cloud Data Platform Architect – GenAI Adoption

Summary

Architect responsible for designing and governing enterprise-scale cloud, data, and AI/GenAI platforms, partnering with engineering, data, security, and product teams to translate requirements into future-proof architectures.

Architect – Cloud, Data & AI

Experience Required: 8-10 yrs
Toronto, ON - Hybrid (4 Days WFO)

The Architect is responsible for designing, governing, and evolving enterprise-scale technology platforms that are secure, scalable, and aligned with business strategy. The role partners closely with engineering, data, security, and product teams to translate complex requirements into practical, future-proof architectures.

Key Responsibilities

• Defining cloud and platform architecture standards, patterns, and guardrails.
• Leading the design and adoption of modern data and AI platforms, including GenAI capabilities.
• Ensuring security, compliance, and operational excellence are embedded from design through production.
• Providing architectural leadership across initiatives, mentoring teams, and influencing technical roadmaps.
• Acting as a technical authority to unblock delivery, reduce risk, and accelerate innovation across the organization.

See also

Data Engineering jobs by country — openings, pay and top skills →

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