Solutions Architect
Austin, TX - USA
Job Summary
Position: Solutions Architect
Duration: 12 months
Location: Austin TX (Hybrid work- Locals only)
Anticipated start date: 09/01/2026
Interview Mode: In person
SPECIAL REQUIRMENTS:
- Position will be 3 days remote with 2 days (Mon & Wed) required to be onsite at the location listed above. **Subject to change per the hiring team**
- Project will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
DESCRIPTION OF SERVICES
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).
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 organizations 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 24 7 operations while ensuring security compliance and system reliability.
CANDIDATE SKILLS AND QUALIFICATIONS
| Minimum Requirements: | ||
| Years | Required/Preferred | Experience |
| 8 | Required | Multi Cloud Platform Expertise (Azure GCP) |
| 8 | Required | GenAI & Enterprise AI Platform Knowledge (Gemini Vertex AI) |
| 8 | Required | Expertise in Azure Monitor Log Analytics GCP 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). 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. |