Infrastructure Edge Planning, Data Engineer, Edge Strategy and Planning

Amazon • Denver, CO

22h

About The Position

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, CloudForge, 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.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
• Experience writing complex SQL queries
• Object oriented programming (Python Preferred)

Nice To Haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience with infrastructure metrics, capacity planning, or network data analysis

Responsibilities

• Build automated data pipelines to collect and analyze infrastructure metrics from multiple sources
• Design and implement ETL workflows to integrate data from heatmaps, CloudForge, 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed