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Cloud Solutions Architect

Austin, TX, US • Posted 2 days ago • Updated 5 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Computer Hardware
SaaS
PaaS
IaaS
Collaboration
Reliability Engineering
Generative Artificial Intelligence (AI)
Vertex
Google Cloud
Google Cloud Platform
Twilio
Storage
Data Storage
Artificial Intelligence
Analytics
Informatica
Enterprise Integration
Identity Management
Network Security
Auditing
Regulatory Compliance
FedRAMP
Tier 2
Tier 3
Log Analysis
Management
Tableau
ArcGIS
Geospatial Analysis
Cloud Computing
Scripting
Python
Bash
Continuous Integration
Continuous Delivery
Microsoft Azure
Kubernetes
Docker
Microservices
Extract
Transform
Load
ELT
API
Analytical Skill
Problem Solving
Conflict Resolution
Leadership

Summary

Role: Cloud Solutions Architect

Location: Austin, TX (Hybrid - 3 days remote with 2 days onsite (Monday & Wednesday))

Duration: Long Term

In person interview will be required

Responsibilities:

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 247 operations, while ensuring security, compliance, and system reliability.

Qualifications:

Required Experience

8+ years of experience with multi-cloud platforms, specifically Microsoft Azure and Google Cloud Platform (Google Cloud Platform).
8+ years of experience with Generative AI (GenAI) and enterprise AI platforms, including Google Gemini and Vertex AI.
8+ years of experience using Azure Monitor, Azure Log Analytics, Google Cloud Platform Cloud Monitoring, and enterprise logging frameworks for performance, reliability, and usage monitoring.
8+ years of experience utilizing Logstash for log ingestion, transformation, and integration with Azure Log Analytics to enable proactive monitoring and alerting.
8+ years of experience designing and implementing alerting and notification solutions using Twilio (SMS/voice) for ETL failures and operational incidents.
8+ years of experience working with Azure Blob Storage, Data Lakes, and structured storage systems supporting analytics and AI workloads.
8+ years of hands-on experience supporting enterprise data pipelines, data platforms, and analytics workloads.
8+ years of experience with Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, and enterprise integration patterns, including monitoring and troubleshooting integration challenges.
8+ years of experience implementing Identity and Access Management (IAM), least-privilege security models, network security, audit logging, and compliance frameworks (FedRAMP and regulated environments).
8+ years of experience supporting Tier 2/Tier 3 production issues, log analysis, platform access troubleshooting, and maintaining platform stability and reliability.

Preferred Experience

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 scripting and automation using Python, Bash, serverless technologies, and CI/CD pipelines.
3+ years of experience working with Google Kubernetes Engine (GKE), Azure Kubernetes Service (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 applying analytical and problem-solving skills to assess platform issues, make architectural decisions, and resolve critical production challenges.
3+ years of experience owning platform stability, reliability, and delivery while proactively identifying risks and driving successful outcomes.
2+ years of experience translating complex technical concepts into business-friendly language and communicating effectively with stakeholders, leadership, and end users.
2+ years of experience leading and coordinating cross-functional teams across engineering, data, infrastructure, and business organizations to deliver platform initiatives.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL939169
Position Id: 3fe6a77a534f3e632f67044b860357b2
Posted 2 days ago

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