Cloud Solutions Architect 3 | Austin, TX - Remote

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Position: : Cloud Solutions Architect 3

Location: Austin, TX – Remote (Interviews In-person)

Duration: 12 Months, Extendable

Client: Texas Health and Human Services Commission

Job ID: 529701735

 

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 + 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). [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.