Capacity Analytics/Data Engineer Long-term contract through 2027 Hybrid in Philadelphia, PA (2-4 days onsite) This opportunity is for a Data Engineer/Capacity Analytics professional supporting private cloud infrastructure capacity planning and optimization. The role focuses on analyzing infrastructure demand, utilization, and capacity trends while developing forecasting models, reporting solutions, and automation capabilities. The environment supports technologies including VMware, OpenStack, Kubernetes, Docker, and storage platforms, with a strong emphasis on cost optimization, efficiency, and data-driven decision-making within a small, collaborative engineering team.
Responsibilities:
Analyze infrastructure demand, utilization, and capacity data across private cloud environments.
Build, maintain, and automate forecasting models to support capacity planning and resource optimization.
Develop reporting, dashboards, and data visualizations to drive operational and strategic decisions.
Monitor compute and storage utilization and proactively identify capacity risks and issues.
Support the full lifecycle of capacity management, including planning, purchasing, deployment, and decommissioning activities.
Identify opportunities to reduce waste, improve utilization, and optimize infrastructure costs.
Work with large datasets to generate actionable insights and improve forecasting accuracy.
Collaborate with engineering and architecture teams to support infrastructure planning initiatives.
Drive automation and process efficiency improvements across capacity analytics and reporting functions
