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Data Cloud Solutions Jobs (NOW HIRING)

Yale University

Cloud Solutions Architect

Austin, TX · On-site

$63 - $86.25/hr

Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms ... solutions using Twilio (SMS/voice) for ETL failures and operational incidents. * 8+ years of ...

New

Cayuse Holdings

Cloud Solutions Architect 3

Cedar Park, TX · On-site +1

$122K - $176K/yr

The Work The Cloud Solutions Architect III is responsible for leading and advancing the ... Design and maintain cloud-based data platforms leveraging Blob Storage, Data Lakes, and structured ...

New

Apex Informatics

cloud solutions architect

$65 - $89/hr

Cannot work with OPT or CPT Rate: 70/hr w2 - Design and build efficient and reliable data pipelines ... cloud ETL tools and capabilities to engineer solutions and automate large scale data flows from ...

Innovee Consulting LLC

Cloud Solutions Architect

Austin, TX · On-site

$63 - $86.25/hr

Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms ... solutions using Twilio (SMS/voice) for ETL failures and operational incidents. * 8+ years of ...

New

MSYS Inc.

Cloud Solutions Architect-Hybrid

Austin, TX

$63 - $86.25/hr

Cloud Solutions Architect-Hybrid Location: Austin,TX Length :Long term Restriction: w2 or c2c ... Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms ...

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Data Cloud Solutions information

What is the difference between Data Cloud Solutions vs Data Analysts?

AspectData Cloud SolutionsData Analysts
Required CredentialsCloud certifications (e.g., AWS, Azure), data management skillsStatistics, data analysis, SQL, often a degree in related fields
Work EnvironmentCloud platforms, data infrastructure, collaborative teamsData sets, reporting tools, business environments
Employer & Industry UsageTech companies, cloud service providers, large enterprisesFinance, marketing, healthcare, consulting firms

Data Cloud Solutions professionals focus on managing and deploying data infrastructure in cloud environments, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills, but Data Cloud Solutions roles emphasize cloud platforms and infrastructure, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Data Cloud Solutions job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.
Cloud Solutions Architect

Cloud Solutions Architect

Yale University

Austin, TX • On-site

$63 - $86.25/hr

Contractor

Posted yesterday

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

40th of 536 rated colleges and universities

Job description

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 24x7 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 (GCP).
  • 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, GCP 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.

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