Cloud Architect(Azure+Google Cloud Platform)

The cloud architect is responsible for an organization''''s cloud computing initiatives and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for planning and engineering 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 a Service (SaaS), Platform as a 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.


Required Skills

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

Preferred Skills

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