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