What are the responsibilities and job description for the Cloud Architect position at Jobs via Dice?
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The cloud architect is 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 24×7 operations, while ensuring security, compliance, and system reliability.
Ii. Candidate Skills And Qualifications
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.YearsRequired/PreferredExperience8RequiredMulti‑Cloud Platform Expertise (Azure Google Cloud Platform)8RequiredGenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)8RequiredExpertise in Azure Monitor, Log Analytics, Google Cloud Platform Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.8RequiredExperience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting8RequiredAbility to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.8RequiredExperience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.8RequiredHands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments8RequiredExperience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.8RequiredStrong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).8RequiredAbility to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments3PreferredFamiliarity building and managing Tableau Cloud environments3PreferredExperience integrating ArcGIS or geospatial data systems with cloud data platforms.3PreferredKnowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [https://ou...essageItem | Outlook]3PreferredExposure to GKE, AKS, Docker, and microservices architectures.3PreferredFamiliarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.3PreferredStrong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.3PreferredAbility to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes2PreferredAbility to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users2PreferredProven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.
The cloud architect is 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 24×7 operations, while ensuring security, compliance, and system reliability.
Ii. Candidate Skills And Qualifications
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.YearsRequired/PreferredExperience8RequiredMulti‑Cloud Platform Expertise (Azure Google Cloud Platform)8RequiredGenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)8RequiredExpertise in Azure Monitor, Log Analytics, Google Cloud Platform Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.8RequiredExperience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting8RequiredAbility to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.8RequiredExperience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.8RequiredHands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments8RequiredExperience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.8RequiredStrong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).8RequiredAbility to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments3PreferredFamiliarity building and managing Tableau Cloud environments3PreferredExperience integrating ArcGIS or geospatial data systems with cloud data platforms.3PreferredKnowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [https://ou...essageItem | Outlook]3PreferredExposure to GKE, AKS, Docker, and microservices architectures.3PreferredFamiliarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.3PreferredStrong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.3PreferredAbility to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes2PreferredAbility to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users2PreferredProven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.