About The Position

The Cloud Solutions Architect 3 role is responsible for leading an organization's cloud computing initiatives and directing the architectural aspects of a cloud brokering team across all IT and business functions. This includes planning and engineering the organization's cloud computing infrastructure and applications, implementing and designing hardware and software. The role requires familiarity with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS). The position supports a regulated, multi-cloud enterprise environment, demanding expertise in data/AI platforms, vendor coordination, monitoring, and 24x7 operations, while ensuring security, compliance, and system reliability. All work products are considered 'works made for hire' and are the property of the client. Potential vendors and candidates may be subject to pre-selection requirements, including criminal background checks.

Requirements

  • 8+ years of Multi-Cloud Platform Expertise (Azure + GCP)
  • 8+ years of GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
  • 8+ years of Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
  • 8+ years of Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting.
  • 8+ years of Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
  • 8+ years of Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
  • 8+ years of Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments.
  • 8+ years of Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
  • 8+ years of Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMp/regulated env.).
  • 8+ years of Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments.

Nice To Haves

  • 3 years of Familiarity building and managing Tableau Cloud environments
  • 3 years of Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
  • 3 years of Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines).
  • 3 years of Exposure to GKE, AKS, Docker, and microservices architectures.
  • 3 years of Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
  • 3 years of Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
  • 3 years of Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes.
  • 2 years of Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users.
  • 2 years of Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.

Responsibilities

  • Directing the architectural aspects of a cloud brokering team across all aspects of IT and the business.
  • Planning and engineering of an organization's cloud computing infrastructure and applications.
  • Implementing and designing hardware and software.
  • Supporting a regulated, multi-cloud enterprise environment.
  • Ensuring security, compliance, and system reliability.
  • Supporting data/AI platforms.
  • Vendor coordination.
  • Monitoring and 24x7 operations.
  • Supporting Tier 2/3 issues, debugging logs, resolving platform access issues, and maintaining stability in production environments.
  • Assessing platform issues, making timely architectural decisions, and driving resolution in high-pressure environments.
  • Taking end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes.
  • Clearly translating complex technical concepts into business-friendly language and actively engaging with stakeholders, leadership, and end users.
  • Leading and coordinating across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.
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