Senior Staff Data Engineer (Foundational Data)

Airbnb as a Senior Staff Data Engineer in the Foundational Data team. You will be the technical leader, setting the direction for the team and owning the long-term data architecture. This hands-on role requires expertise in data engineering and analytics engineering, as you will work across both disciplines.

Responsibilities

• You will design and build datasets that integrate cost, utilization, performance, and reliability signals across Airbnb's infrastructure fleets.
• Additionally, you will influence and coach a distributed team of Data Engineers and Analytics Engineers, navigate conflicting stakeholder requirements, and participate in the team's on-call rotation.
• Provide technical leadership across the team's data engineering and analytics engineering work, spanning cloud cost, traffic & bots, and infrastructure intelligence.
• Define and own the multi-year data strategy and architecture for Airbnb's foundational data assets, and build the cross-org consensus needed to fund and execute it.
• Design and build the datasets that integrate cost, utilization, performance, and reliability signals across Airbnb's infrastructure fleets, starting from a blank page.

Requirements

• You do not need prior experience with cloud cost, infrastructure, or AI/ML data to succeed here
• You have written the multi-year technical strategy for an area, and got other organizations to fund and deliver against it
• You have built a data product where no schema or precedent existed, and persuaded other teams to adopt it
• You have been the technical lead on a team or program, setting direction that other senior engineers executed against without formal authority over them, while still writing code yourself
• 12+ years of relevant industry experience with a BS/Masters, or 9+ years with a PhD, in data engineering or a closely related field
• You have written the document that aligned several teams on a contested technical decision, and you can explain a data model to a finance partner as readily as to an engineer
• You have designed, built, and operated production data pipelines at large scale, and you write strong SQL and Python. Scala experience is useful but not required
• You have moved into an unfamiliar data or technical domain and become productive quickly, building enough understanding of the underlying systems to model them well
• You can design a dimensional model and define a metric others will trust, even if analytics engineering has not been your job title

Pay

USD 248,000 - 310,000