Infrastructure Edge Planning, Data Engineer, Edge Strategy and Planning

This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

Final date to receive applications:
Feb 18, 2026

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services ("AWS") offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. We are growing quickly and dynamically, including in our global data center footprint. This role is part of the Infrastructure Global Strategy and Planning team, which is responsible for our strategy for data center expansion for edge infrastructure.

In this role, you will build data automation systems to transform interconnect capacity planning across locations. You will create data pipelines and analytics frameworks for infrastructure metrics, while developing Extract, Transform, and Load (ETL) processes to integrate data from heatmaps, Cloud Forge, build plans, and financial systems. Your work will support both current optimization and long-term planning through data models that connect data center architectures with network designs.

Your main task will be building automated workflows that replace manual processes. This includes creating monitoring systems for capacity constraints, alerts for capacity thresholds, visualization dashboards, and forecasting models. Your work will improve infrastructure cost optimization and growth planning through data-driven insights.

The role requires collaboration with infrastructure teams to capture data requirements and with business stakeholders to convert metrics into actions. You will deliver automated data integration systems, analytics platforms for capacity monitoring, forecasting models, and infrastructure health metrics. By combining data engineering skills with infrastructure planning knowledge, you will build systems that reduce costs and enable network scalability. This role will shape how we use data for infrastructure decisions, requiring both data engineering expertise and understanding of infrastructure planning.

Key job responsibilities
- Build automated data pipelines to collect and analyze infrastructure metrics from multiple sources
- Design and implement ETL workflows to integrate data from heatmaps, Cloud Forge, build plans, and financial systems
- Develop monitoring systems and dashboards for real-time infrastructure capacity tracking
- Create predictive models for capacity planning and cost optimization
- Automate manual data collection and analysis processes
- Partner with infrastructure teams to deliver data-driven planning insights
- Developing data and API integrations across multiple platforms

A day in the life
A Data Engineer in Edge Infrastructure enables data-driven decisions for one of the world's largest edge networks, transforming raw infrastructure data into actionable insights for capacity planning and optimization. You'll monitor automated data pipelines processing metrics from hundreds of edge sites, design predictive analytics for capacity forecasting, and build machine learning models to identify cost-saving…