Cloud Solutions Architect 3
Austin, Minnesota, United States of America
Contract
2 weeks ago
Key skills
PythonBashAIGenAIGeminiETLELTAnalyticsTableauAzureGoogle CloudDockerServerlessAKSGKEIAMBlob StorageAzure MonitorVertex AILogstashSaaSCI/CDLeadershipNetwork Security
About this role
Texas Health and Human Services Commission requires the services of 1 Cloud Solutions Architect 3, hereafter referred to as Candidate(s), who meets the general qualifications of Cloud Solutions Architect 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).
Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms, vendor coordination, monitoring, and 247 operations, while ensuring security, compliance, and system reliability.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
MultiCloud Platform Expertise (Azure + Google Cloud Platform)
8
Required
GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
8
Required
Expertise in Azure Monitor, Log Analytics, Google Cloud Platform Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
8
Required
Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
8
Required
Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
8
Required
Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
8
Required
Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
8
Required
Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
8
Required
Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).
8
Required
Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments
3
Preferred
Familiarity building and managing Tableau Cloud environments
3
Preferred
Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
3
Preferred
Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [..essageItem | Outlook]
3
Preferred
Exposure to GKE, AKS, Docker, and microservices architectures.
3
Preferred
Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
3
Preferred
Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
3
Preferred
Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes
2
Preferred
Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users
2
Preferred
Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.