What are the responsibilities and job description for the Cloud Architect (Azure/Google Cloud Platform) - Healthcare - state client exp needed position at Cogent Data Solutions Llc?
Role: Cloud Architect (Azure/Google Cloud Platform Data & AI Platforms)
Location: Austin, TX – Hybrid
Required Qualifications
- 8 years of experience with Multi-Cloud Platforms (Microsoft Azure and Google Cloud Platform - Google Cloud Platform).
- 8 years of experience with Enterprise AI/GenAI platforms, including Gemini and Vertex AI.
- 8 years of experience with Azure Monitor, Azure Log Analytics, Google Cloud Platform Cloud Monitoring, Cloud Logging, and enterprise monitoring frameworks.
- 8 years of experience using Logstash for log ingestion, transformation, and integration with monitoring and alerting solutions.
- 8 years of experience designing and implementing automated alerting solutions using Twilio SMS/Voice APIs.
- 8 years of experience with Azure Blob Storage, Data Lakes, Cloud Storage, and structured storage systems supporting analytics and AI workloads.
- 8 years of experience supporting enterprise data platforms, ETL/ELT pipelines, analytics, and data engineering environments.
- 8 years of experience with Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, integration patterns, monitoring, and troubleshooting.
- 8 years of experience implementing IAM, least-privilege access controls, network security, audit logging, and compliance requirements in regulated environments.
- 8 years of experience providing Tier 2/Tier 3 production support, troubleshooting platform issues, analyzing logs, resolving access issues, and maintaining platform stability.
- Experience supporting 24x7 enterprise cloud operations with a focus on reliability, security, scalability, and compliance.
Preferred Qualifications
- 3 years of experience building and managing Tableau Cloud environments.
- 3 years of experience integrating ArcGIS and geospatial data systems with cloud-based data platforms.
- 3 years of experience with Python, Bash, serverless technologies, and CI/CD automation.
- 3 years of experience with GKE, AKS, Docker, and microservices architectures.
- 3 years of experience with Data Mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
- 3 years of experience analyzing platform issues, making architectural decisions, and driving resolution in high-pressure environments.
- 3 years of experience taking ownership of platform stability, reliability, risk management, and operational excellence.
- 2 years of experience communicating complex technical concepts to business stakeholders and leadership.
- 2 years of experience leading and coordinating cross-functional teams across engineering, infrastructure, data, security, and business functions.