Cloud Solutions Architect 3

Cloud Solutions Architect 3

Cayuse Civil Services, LLC

Hybrid in Austin, TX

$122,720.00-$176,800

Full-Time Salary Exempt

No travel

No relocation

Employment in this role is conditional upon successful execution of the contract by the client.

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.

Responsibilities

• 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.

Qualifications

Here's What You Need

The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client.

• 8+ years of demonstrated multi-cloud platform expertise with: Microsoft Azure, Google Cloud Platform (GCP)
• 8+ years of GenAI and enterprise AI platform knowledge, including hands-on experience with: Gemini, Vertex AI (or similar enterprise AI platforms)
• 8+ years of expertise with: Azure Monitor, Azure Log Analytics, GCP Cloud Monitoring, logging frameworks to track performance, reliability, and usage
• 8+ years of experience using Logstash for: log ingestion and transformation, integration with Azure Log Analytics, enabling proactive monitoring and alerting
• 8+ years of experience designing alerting solutions using Twilio (SMS/voice) for: ETL failures, operational notifications, critical incident escalation
• 8+ years of experience with: Blob Storage, Data Lakes, structured storage systems supporting analytics and AI workloads
• 8+ years of hands-on experience supporting: data pipelines, data platforms, analytics workloads in enterprise environments
• 8+ years of experience with: Informatica Cloud (IICS), Secure Agents, APIs and integration patterns, handling monitoring and integration challenges
• 8+ years of strong implementation experience with: Identity and Access Management (IAM) based on least privilege, network security, audit logging, compliance in FedRAMP or other regulated environments
• 8+ years of proven ability to: support Tier 2/3 issues, debug complex logs, resolve platform access and integration issues, maintain stability in production environments
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Minimum Skills:

• Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
• Exceptional verbal and written communication skills.
• Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
• Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.
• Must be self-motivated and able to work well independently as well as on a multi-functional team.
• Ability to handle sensitive and confidential information appropriately
• Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.

Desired Qualifications:

• 3+ years of familiarity with: building and managing Tableau Cloud environments, integrating Tableau Cloud with enterprise data sources
• 3+ years of experience integrating: ArcGIS or other geospatial data systems with cloud data platforms
• 3+ years of knowledge and hands-on exposure to: scripting (e.g., Python, Bash), automation using serverless technologies, CI/CD pipelines
• 3+ years of exposure to: GKE (Google Kubernetes Engine), AKS (Azure Kubernetes Service), Docker, microservices-based architectures
• 3+ years of familiarity with: data mesh concepts, ETL/ELT architectures, API integrations, enterprise data standards and governance
• 3+ years of demonstrated strong analytical thinking, including ability to: assess platform issues, make timely