Solutions Architect

Hybrid in Austin, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
50% Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Solutions Architect
  • Azure
  • GCP
  • GenAI
  • Gemini
  • Vertex AI

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 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 24×7 operations, while ensuring security, compliance, and system reliability.

 

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.

Years

Required/Preferred

Experience

8

Required

Multi‑Cloud 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). [https://ou...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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10365731
  • Position Id: 3116-14481-
  • Posted 8 hours ago
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