Senior Solutions Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Architect - Cloud & AI Optimization based in Canada.

This is a senior, hands-on architecture and consulting role focused on helping enterprise customers optimize complex cloud environments.

• Lead cloud cost-optimization and FinOps initiatives across large, complex enterprise environments, identifying waste, inefficiencies, and architectural opportunities.
• Analyze cloud usage, cost, and spending patterns to uncover optimization opportunities and prioritize actions based on business impact.
• Develop and implement sustainable cloud governance frameworks, including cost allocation, showback, chargeback, rightsizing, Savings Plans, and Reserved Instance strategies.
• Partner with engineering teams to translate optimization recommendations into practical technical changes and measurable improvements.
• Design and optimize reporting, analytics, and decision-support solutions that provide customers with greater visibility into cloud financial performance.
• Work with large-scale cloud cost and usage datasets and build insights that support data-driven optimization decisions.
• Lead customer discovery sessions, optimization reviews, technical discussions, and presentations for both technical and business stakeholders.
• Build trusted-advisor relationships by clearly explaining complex technical concepts, framing problems effectively, and connecting recommendations to business outcomes.
• Guide engineering and data teams, establish cloud-efficiency best practices, and mentor team members.
• Drive architecture decisions that improve technical performance, operational efficiency, and financial outcomes.
• Explore AI-enabled engineering and analytics workflows that increase productivity, automate repetitive work, and improve optimization processes.

• Demonstrated professional experience in FinOps and cloud cost optimization; meaningful FinOps experience is essential.
• Strong hands-on AWS experience, including familiarity with AWS-native analytics services such as Athena.
• Strong SQL and Python skills, with experience applying them to large-scale data analysis, automation, reporting pipelines, and data-transformation workflows.
• Experience with cloud cost and usage reporting, data modeling, cost governance, and financial visibility initiatives.
• Practical knowledge of cloud optimization techniques, including rightsizing, Savings Plans, Reserved Instances, cost allocation, showback/chargeback, and cloud economics.
• Proven track record of driving measurable cloud cost reductions and connecting technical improvements to financial outcomes.
• Customer-facing consulting experience, with the ability to lead discovery, advise senior stakeholders, and communicate technical recommendations clearly.
• Strong executive communication, stakeholder management, problem-framing, and data-driven decision-making skills.
• Hands-on experience with automation, reporting, and analytics systems.
• Familiarity with medallion architecture concepts and large-scale data environments.
• Experience with Kubernetes, cloud-native platforms, or containerized workloads is preferred.
• Experience using AI tools in engineering or analytics workflows, including familiarity with LLMs and AI-assisted development, is a plus.
• Strong analytical, detail-oriented, curious, and outcome-focused mindset with the ability to solve complex problems independently.

• Fully remote work environment.
• Opportunity to work directly with enterprise customers on high-impact cloud optimization programs.
• Exposure to complex FinOps, AWS, data analytics, automation, and cloud architecture initiatives.
• Opportunity to influence technical architecture and cloud financial decisions at scale.
• Collaboration with experienced architects, engineers, and FinOps professionals.
• Opportunity to deliver measurable cost savings and operational improvements for enterprise customers.
• Opportunities to develop expertise in AI-enabled engineering and analytics workflows.
• Professional growth through technically challenging customer engagements and increased architectural responsibility.