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Cloud Solutions Architect 3
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#36969
Remote / WFH
Cayuse Holdings
Job Description
The Work
The Cloud Solutions Architect III is responsible for leading and advancing the organization’s cloud computing initiatives and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. This senior role is accountable for the planning, design, and engineering of the organization’s multi-cloud infrastructure and cloud-native applications, ensuring secure, reliable, and compliant delivery of services in a regulated environment.
This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.
Lead the design, implementation, and governance of multi-cloud architectures across Azure and Google Cloud Platform (GCP) to support enterprise data, analytics, and AI workloads.
Direct the architectural aspects of a cloud brokering team, guiding solution selection, integration patterns, and standards across IT and business stakeholders.
Develop reference architectures, design patterns, and best practices for cloud services (SaaS, PaaS, IaaS) to ensure consistent, scalable, and cost-effective solutions.
Align cloud architectural decisions with enterprise strategies, regulatory requirements, and operational objectives, ensuring resiliency, performance, and security.
Architect and support enterprise AI and GenAI platforms (e.g., Gemini, Vertex AI) to enable advanced analytics, intelligent automation, and data-driven decision-making.
Design and maintain cloud-based data platforms leveraging Blob Storage, Data Lakes, and structured storage systems to support large-scale analytics and AI workloads.
Provide hands-on support for data pipelines, data platforms, and analytics workloads in enterprise environments, ensuring performance, reliability, and compliance.
Collaborate with data engineering and analytics teams to define data architectures (including ETL/ELT, data mesh, and API integrations) that meet enterprise data standards.
Design and implement end-to-end monitoring and observability strategies using Azure Monitor, Log Analytics, GCP Cloud Monitoring, and associated logging frameworks.
Use Logstash to design and support log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting.
Define and implement alerting solutions leveraging Twilio (SMS/voice) for ETL failures, platform events, and critical operational notifications.
Establish dashboards, KPIs, SLOs/SLIs, and reporting for performance, reliability, usage, and capacity planning across multi-cloud environments.
Architect and support integration solutions using Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, and enterprise integration patterns.
Troubleshoot and resolve monitoring, connectivity, and integration challenges, working closely with vendors and internal teams to maintain platform stability.
Coordinate with application, data, and infrastructure teams to ensure cloud solutions integrate seamlessly with on-premises systems and third-party services.
Design and implement robust Identity and Access Management (IAM) strategies based on least-privilege principles across Azure and GCP.
Implement and enforce network security controls, audit logging, and hardening standards in alignment with FedRAMP and other regulated environment requirements.
Ensure that cloud solutions meet organizational security baselines, compliance mandates, and industry best practices for regulated multi-cloud environments.
Collaborate with security, risk, and compliance stakeholders to address audit findings, implement remediations, and maintain continuous compliance.
Provide Tier 2/3 support for cloud platforms, data and AI services, and integration layers, including debugging logs, resolving platform access issues, and addressing complex production incidents.
Drive root cause analysis (RCA) and corrective/preventive actions (RCAs/CPAs) to enhance platform stability, reliability, and operational efficiency.
Participate in 24×7 support models as needed, ensuring rapid response, communication, and resolution of critical production issues.
Proactively identify risks, capacity constraints, and reliability challenges, driving mitigation plans and continuous improvement initiatives.
Lead cross-functional efforts involving engineering, data, infrastructure, security, and business stakeholders to plan and deliver platform initiatives.
Translate complex technical concepts and architectural decisions into clear, business-friendly language appropriate for leadership, stakeholders, and end users.
Mentor and guide junior architects, engineers, and operations staff, fostering knowledge sharing and adherence to cloud and data standards.
Act as a subject matter expert and trusted advisor on cloud, data, and AI platform strategies in steering committees, design reviews, and roadmap sessions.
Other duties as assigned.
The Cloud Solutions Architect III is responsible for leading and advancing the organization’s cloud computing initiatives and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. This senior role is accountable for the planning, design, and engineering of the organization’s multi-cloud infrastructure and cloud-native applications, ensuring secure, reliable, and compliant delivery of services in a regulated environment.
This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.
Lead the design, implementation, and governance of multi-cloud architectures across Azure and Google Cloud Platform (GCP) to support enterprise data, analytics, and AI workloads.
Direct the architectural aspects of a cloud brokering team, guiding solution selection, integration patterns, and standards across IT and business stakeholders.
Develop reference architectures, design patterns, and best practices for cloud services (SaaS, PaaS, IaaS) to ensure consistent, scalable, and cost-effective solutions.
Align cloud architectural decisions with enterprise strategies, regulatory requirements, and operational objectives, ensuring resiliency, performance, and security.
Architect and support enterprise AI and GenAI platforms (e.g., Gemini, Vertex AI) to enable advanced analytics, intelligent automation, and data-driven decision-making.
Design and maintain cloud-based data platforms leveraging Blob Storage, Data Lakes, and structured storage systems to support large-scale analytics and AI workloads.
Provide hands-on support for data pipelines, data platforms, and analytics workloads in enterprise environments, ensuring performance, reliability, and compliance.
Collaborate with data engineering and analytics teams to define data architectures (including ETL/ELT, data mesh, and API integrations) that meet enterprise data standards.
Design and implement end-to-end monitoring and observability strategies using Azure Monitor, Log Analytics, GCP Cloud Monitoring, and associated logging frameworks.
Use Logstash to design and support log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting.
Define and implement alerting solutions leveraging Twilio (SMS/voice) for ETL failures, platform events, and critical operational notifications.
Establish dashboards, KPIs, SLOs/SLIs, and reporting for performance, reliability, usage, and capacity planning across multi-cloud environments.
Architect and support integration solutions using Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, and enterprise integration patterns.
Troubleshoot and resolve monitoring, connectivity, and integration challenges, working closely with vendors and internal teams to maintain platform stability.
Coordinate with application, data, and infrastructure teams to ensure cloud solutions integrate seamlessly with on-premises systems and third-party services.
Design and implement robust Identity and Access Management (IAM) strategies based on least-privilege principles across Azure and GCP.
Implement and enforce network security controls, audit logging, and hardening standards in alignment with FedRAMP and other regulated environment requirements.
Ensure that cloud solutions meet organizational security baselines, compliance mandates, and industry best practices for regulated multi-cloud environments.
Collaborate with security, risk, and compliance stakeholders to address audit findings, implement remediations, and maintain continuous compliance.
Provide Tier 2/3 support for cloud platforms, data and AI services, and integration layers, including debugging logs, resolving platform access issues, and addressing complex production incidents.
Drive root cause analysis (RCA) and corrective/preventive actions (RCAs/CPAs) to enhance platform stability, reliability, and operational efficiency.
Participate in 24×7 support models as needed, ensuring rapid response, communication, and resolution of critical production issues.
Proactively identify risks, capacity constraints, and reliability challenges, driving mitigation plans and continuous improvement initiatives.
Lead cross-functional efforts involving engineering, data, infrastructure, security, and business stakeholders to plan and deliver platform initiatives.
Translate complex technical concepts and architectural decisions into clear, business-friendly language appropriate for leadership, stakeholders, and end users.
Mentor and guide junior architects, engineers, and operations staff, fostering knowledge sharing and adherence to cloud and data standards.
Act as a subject matter expert and trusted advisor on cloud, data, and AI platform strategies in steering committees, design reviews, and roadmap sessions.
Other duties as assigned.
