The Role
Designs and governs multi-cloud infrastructure and data/AI platforms, ensuring security, compliance, monitoring, and 24x7 operational reliability. Leads cloud brokering, supports Tier 2/3 incidents, integrates data pipelines, and coordinates vendors and stakeholders to maintain production stability for regulated enterprise environments.
Summary Generated by Built In
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/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). [https://ou...essageItem | Outlook]
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.
Skills Required
- Multi-Cloud Platform Expertise (Azure and GCP)
- GenAI and Enterprise AI platform knowledge (Gemini, Vertex AI)
- Expertise in Azure Monitor, Azure Log Analytics, GCP Cloud Monitoring, and logging frameworks
- Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics
- 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 for analytics and AI workloads
- Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
- Experience with Informatica Cloud (IICS), Informatica Secure Agents, APIs, and integration patterns
- Strong implementation of IAM (least privilege), network security, audit logging, and compliance in FedRAMP/regulated environments
- Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain production stability
- 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 and make timely architectural decisions
- Ability to take end-to-end ownership of platform stability, reliability, and delivery
- Ability to translate complex technical concepts into business-friendly language and engage stakeholders
- Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
