Cloud Data and AI Ops Specialist

Role Overview
The Cloud Data and AI Ops Specialist is responsible for the day-to-day operational management, monitoring, administration, and optimization of cloud-based data and AI platforms across Microsoft Fabric, Informatica Intelligent Data Management Cloud (IDMC), Microsoft Foundry, and associated Azure data integration environments. The role safeguards platform availability, secure runtime execution, capacity performance, cost efficiency, and compliance with approved architecture, operational runbooks, security controls, and platform standards.
The specialist works closely with Cloud Architects, AI Architects, CLIENT IT, platform owners, engineering teams, and Capgemini Informatica experts. During architecture and design, the role translates approved designs into executable platform setup activities. During build and deployment, it performs infrastructure and administrative tasks. In steady-state operations, it provides proactive monitoring, incident support, capacity governance, FinOps reporting, configuration control, and continuous operational improvement.
Engagement model: Staff augmentation role providing hands-on execution and operational support across the platform lifecycle.

Required Skills and Experience
• Hands-on experience in cloud data operations, data platform support, platform administration, or cloud infrastructure operations in an enterprise environment.
• Experience supporting operational baselines for Informatica Advanced Serverless workloads on Microsoft Azure.
• Working knowledge of Microsoft Fabric components and concepts, including capacities, workspaces, OneLake, Lakehouses, Data Warehouses, pipelines, notebooks, mirroring, and replication.
• Working knowledge of Microsoft Foundry environments and the operational needs of AI platform workloads.
• Experience monitoring or administering Informatica IDMC, Secure Agent groups, CDGC, CDQ, Data Integration, or Advanced Serverless services.
• Understanding of Azure infrastructure and administration concepts, including virtual machines, subscriptions, resource groups, networking, monitoring, Key Vault, managed identities, and service principals.
• Experience with monitoring tools, operational dashboards, alerting, log analysis, incident troubleshooting, and performance trend analysis.
• Practical exposure to cloud FinOps, including capacity planning, consumption monitoring, budgeting, cost anomaly detection, inventory and quota management, tagging, and optimization tracking.
• Ability to execute approved runbooks and operate within formal incident, problem, change, release, and production-support processes.
• Strong analytical, troubleshooting, documentation, prioritization, and stakeholder communication skills.
Preferred Qualifications
• Seven to eleven years of experience in cloud operations, data operations, platform administration, production support, or data engineering support roles.
• Microsoft Azure certification, Microsoft Fabric certification or practical exposure, and/or Informatica certification.
• Experience in enterprise data platforms, managed services, shared services, staff augmentation, or 24×7 production-support environments.
• Exposure to ITIL practices, service-level management, operational resilience, security controls, and audit requirements.
• Experience supporting business-critical workloads across development, test, and production environments.