14683 - Cloud Solutions Architect, Azure, GCP (Hybrid) - Austin, TX Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: Hybrid (2 days per week onsite)
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:- Availability to work 2 days per week at the Client's site in Austin, TX;
- Experience with Multi-Cloud Platform Expertise (Azure + GCP) (8+ years);
- Experience with GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI) (8+ years);
- Experience with Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage (8+ years);
- Experience with Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting (8+ years);
- Experience with designing 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);
- Experience with 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);
- Experience with IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated environments) (8+ years);
- Experience with supporting Tier 2/3 issues, debugging logs, resolving platform access issues, and maintaining stability in production environments (8+ years).
Preferred:- Experience with building and managing Tableau Cloud environments (3+ years);
- Experience with integrating ArcGIS or geospatial data systems with cloud data platforms (3+ years);
- Experience with scripting (Python, Bash) and automation (serverless, CI/CD pipelines) (3+ years);
- Experience with GKE, AKS, Docker, and microservices architectures (3+ years);
- Experience with Data mesh, ETL/ELT architectures, API integrations, and enterprise data standards (3+ years).
- Experience leading and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives (2+ years).
Responsibilities:- Direct the architectural aspects of a cloud brokering team across all aspects of IT and the business;
- Plan and engineer the organization's cloud computing infrastructure and applications;
- Implement and design hardware and software for cloud technology, including SaaS, PaaS, and IaaS;
- Support a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms, vendor coordination, monitoring, and 247 operations;
- Ensure security, compliance, and system reliability;
- Define and implement cloud governance frameworks, including cost optimization strategies, tagging policies, and resource lifecycle management to ensure efficient utilization across Azure and GCP environments;
- Collaborate with cross-functional teams and stakeholders (data engineering, security, DevOps, and business units) to align cloud architecture with enterprise goals, ensuring scalability, performance, and seamless integration of AI-driven solutions.
