Cloud Solutions Architect 3 (1735)

Job Description

Cloud Solutions Architect 3 (1735)
Austin, Texas (Hybrid - On Site and Telework - Position will be 3 days remote with 2 days (Mon & Wed) required to be onsite at the location listed above.
Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
1 Year Contract

Required
8 Years - Multi-Cloud Platform Expertise (Azure + GCP)
8 Years - GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
8 Years - Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
8 Years - Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
8 Years - Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
8 Years - Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
8 Years - Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
8 Years - Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
8 Years - Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).
8 Years - Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments

Preferred
3 Years - Familiarity building and managing Tableau Cloud environments
3 Years - Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
3 Years - Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [ | Outlook]
3 Years - Exposure to GKE, AKS, Docker, and microservices architectures.
3 Years - Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
3 Years - Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
3 Years - Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes
2 Years - Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users
2 Years - Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.