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

Years
Required/Preferred
Experience
8
Required
Multi‑Cloud Platform Expertise (Azure + GCP)
8
Required
GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
8
Required
Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
8
Required
Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
8
Required
Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
8
Required
Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
8
Required
Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
8
Required
Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
8
Required
Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).
8
Required
Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments
3
Preferred
Familiarity building and managing Tableau Cloud environments
3
Preferred
Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
3
Preferred
Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [
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3
Preferred
Exposure to GKE, AKS, Docker, and microservices architectures.
3
Preferred
Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
3
Preferred
Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
3
Preferred
Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes
2
Preferred
Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users
2
Preferred
Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.