Sr.Business Intelligence Engineer, AWS DC Global Network Delivery

Description

AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure — every data center, every server, every cable that ensures hundreds of millions of customers have uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems on the planet, with thousands of variables in play, and we're looking for exceptional people who want to help solve them.

You’ll join a diverse, cross‑functional team of Product, TIPMS, network engineers, planners, builders and operations leaders globally and collaborate across AWS to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost. You will experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

In this role you won't just build metrics and dashboards — you’ll build context. You’ll own the building of relevant, context‑driven source‑of‑truth datasets and metrics that track the infrastructure delivery process from intake through deployment to decommission lifecycle, giving leaders end‑to‑end visibility into the health and efficiency of our delivery milestones. You’ll partner closely with Data Engineering, Product and Software teams to design and build innovative self‑service platforms that empower business teams to answer their own questions without waiting in a queue.

We are the PAX Analytics team — a small, high‑conviction group of BI Engineers and Data Engineers embedded in one of the world's largest and fastest‑growing data‑center organizations. We were established less than a year ago with a clear mandate:
turn operational complexity into decision‑ready clarity. We don’t build dashboards. We build context — the kind that lets leaders act with confidence and operators spot problems before they become incidents. Our work spans the full data lifecycle: sourcing and integrating raw operational signals, engineering reliable pipelines at scale, and surfacing insights through self‑service tools that hundreds of people rely on daily.

• Partner cross‑functionally to gather requirements and deliver end‑to‑end analytics solutions — translating ambiguous business questions into structured analytical approaches, data models, and scalable self‑service tools.
• Collaborate with Senior Business Leaders, TiPM, Product, and DE to transform large, complex datasets into structured, analytics‑ready insights that drive business outcomes.
• Design, develop, and deploy production‑grade context‑driven datasets and pipelines for self‑serve, enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale.
• Drive alignment on metrics definitions, taxonomy, and data governance across stakeholders.
• Establish a BI platform enabling stakeholders to self‑serve at scale.
• Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches.
• Mentor and develop junior team members — establishing and driving best analytics practices across the team.
• Communicate results, insights, and recommendations across all levels of the organization — from engineering teams to senior leadership — distilling complex findings into clear, actionable narratives tailored to each audience.
• Analyze source data systems and drive best practices in source teams.

Mornings start with pipeline health checks and intake triage. Then you go deep — scoping new metrics by understanding sources and questioning what business decisions they'll actually drive, before writing any code. Afternoons shift between refactoring legacy pipelines into modular, documented stages; presenting draft dashboards with honest caveats to leadership; and reviewing teammates’ work. You close the day by documenting what you learned, pushing your CR, and making sure nothing stays only in your head.

Every step is deliberate — understanding before building, transparency over polish.

• 7+ years of SQL,…