Cloud Solutions Architect (Azure + Google Cloud Platform)

Position: Cloud Solutions Architect 3

Location: Austin, Texas - Hybrid

Duration: 12 Months

Job Description:

• 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.
• Multi Cloud Platform Expertise (Azure + Google Cloud Platform)
• GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
• Expertise in Azure Monitor, Log Analytics, Google Cloud Platform Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
• Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
• Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
• Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
• Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
• Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
• Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).
• Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments
• Familiarity building and managing Tableau Cloud environments.
• Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
• Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [https://ou...essageItem| Outlook].
• Exposure to GKE, AKS, Docker, and microservices architectures.
• Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
• Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
• Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes
• Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users
• Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.