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Job Title: Cloud Solutions Architect (Level 3)Location: Austin, TX (Hybrid – 2 days onsite: Monday & Wednesday)Duration: 12 MonthsLocal candidates preferred (Austin metro area)
Job SummaryWe are seeking a highly experienced Cloud Solutions Architect to lead enterprise cloud architecture, platform engineering, and modernization initiatives across a multi-cloud environment.
This role is responsible for designing, implementing, and supporting scalable cloud infrastructure and applications across Azure and GCP. The architect will support data platforms, AI/GenAI workloads, integrations, monitoring frameworks, and production operations in a highly secure, regulated enterprise environment.
The ideal candidate will have strong experience across cloud architecture, data engineering platforms, observability, security compliance, and enterprise integration patterns.
Key Responsibilities - Design and implement scalable cloud architecture across multi-cloud environments (Azure and GCP).
- Lead cloud infrastructure planning, engineering, and architecture for enterprise applications and data platforms.
- Support AI and GenAI platforms including enterprise LLM, vector-based, and analytics workloads.
- Build and maintain monitoring, logging, and alerting frameworks using tools such as Azure Monitor, Log Analytics, and GCP Cloud Monitoring.
- Implement log ingestion and transformation pipelines using tools such as Logstash.
- Design and implement alerting solutions for operational and ETL failures using messaging and notification systems (SMS/voice/email).
- Architect and support data platforms including blob storage, data lakes, and structured/unstructured data environments.
- Support enterprise data pipelines, ETL/ELT workflows, and integration architectures.
- Work with integration platforms such as Informatica Cloud (IICS), secure agents, and APIs.
- Implement security controls including IAM, least privilege access, network security, audit logging, and compliance requirements.
- Support production environments, including Tier 2/Tier 3 incident troubleshooting and resolution.
- Ensure system reliability, performance, scalability, and operational stability.
- Collaborate with engineering, infrastructure, and business teams to deliver platform solutions.
- Provide technical leadership and architectural guidance for enterprise initiatives.
- Translate complex technical solutions into business-friendly communication for stakeholders and leadership.
Required Qualifications - 8+ years of experience in cloud architecture or cloud engineering roles.
- Strong experience with multi-cloud platforms (Azure and Google Cloud Platform).
- Experience with enterprise monitoring and logging tools (Azure Monitor, Log Analytics, GCP Cloud Monitoring).
- Hands-on experience with log processing and ingestion frameworks (e.g., Logstash).
- Experience designing alerting and notification systems for operational monitoring.
- Strong experience with data platforms including data lakes, blob storage, and analytics environments.
- Experience supporting enterprise data pipelines and integration systems.
- Strong understanding of IAM, security architecture, compliance, and access control frameworks.
- Experience supporting production systems and resolving Tier 2/3 issues in enterprise environments.
- Strong troubleshooting, debugging, and incident resolution skills in cloud environments.
Preferred Qualifications - Experience with GenAI platforms such as Gemini, Vertex AI, Azure OpenAI, or similar technologies.
- Experience building or supporting Tableau Cloud environments.
- Experience with geospatial or mapping data integrations (e.g., ArcGIS).
- Experience with scripting languages such as Python or Bash.
- Experience with automation tools, CI/CD pipelines, serverless architecture, or infrastructure-as-code.
- Experience with Kubernetes (GKE, AKS), Docker, and microservices architectures.
- Experience with data mesh, ETL/ELT pipelines, and API-based integration patterns.
- Strong analytical and architectural decision-making skills in high-pressure environments.
- Ability to own platform stability, reliability, and delivery end-to-end.
- Strong communication skills with ability to translate technical concepts into business language.
- Experience collaborating across engineering, data, infrastructure, and business teams.
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