The opportunity
Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
What you'll do
Foundational infrastructure with broad reach: The Datalake team's systems sit in the critical path of nearly every data workload at Stripe. Decisions affect petabytes of data, hundreds of production pipelines, and every engineering team that builds on Stripe's data lake.
Multi-cloud architecture design and transition: You will lead the strategy to transition to a multi-cloud architecture and implement disaster recovery plans.
Active, high-stakes, OSS-aligned architectural transformation: You will lead a multi-year migration to modern, open-source solutions like the Apache Iceberg. This is a technically deep project involving critical architectural choices at each step, from API design and compute engine integration to authorization models, where your opinions and technical influence will directly shape how the platform engages with the broader data infrastructure ecosystem.
At Stripe you’ll have the scale of the large company and the agency to: influence technical strategy and the roadmap
Architect the unified Iceberg platform: Lead the technical design of a metastore service as it becomes the single source of truth for Iceberg table management across all compute engines — Spark, Trino, Flink, and PyIceberg. Define the API contracts, authorization model, per-table credential vending, and integration patterns that every data pipeline at the company will depend on.
Lead compliance architecture: Partner with security and compliance teams to translate regulatory requirements into durable preventative technical controls — audit logging, access review infrastructure, data segregation, and lifecycle enforcement — built into the platform rather than bolted on.
What they're looking for
- Drive cost and efficiency at petabyte scale: Identify systemic inefficiencies in storage layout, snapshot retention, and data lifecycle, and design automated, self-service tooling that scales without ongoing manual intervention from the team.
- Set the technical bar: Own critical design reviews, establish standards for reliability, security, and developer experience, and mentor senior engineers through high-stakes architectural decisions. Provide the technical judgment that keeps the platform moving fast without accumulating structural debt.
- + years of professional software engineering experience
- Demonstrated track record of designing, building, and operating large-scale: distributed storage or data infrastructure systems.