Staff Backend Engineer, Data Platform
Stripe is hiring a Staff Backend Engineer, Data Platform in Dublin, Ireland. Level rates it ; you can apply on Stripe.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Apache Iceberg, Spark and Trino among its tools and skills.
- Level classes it as a senior role.
- Stripe has 720 other open roles on Level.
AI in this role
Architect and lead the migration of Stripe's foundational data lake infrastructure to Apache Iceberg.
Who We Are
About Stripe
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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the Team
The Datalake team builds and maintains Stripe's foundational data access and governance infrastructure — the paved path for safe, fast, and compliant access to Stripe's critical big data assets. We serve developers, data engineers, analysts, ML and AI teams, security teams, and business users across the company. The team is in the middle of a significant architectural transition as Stripe grows. We are making Stripe's data lake a first-class citizen of the modern data ecosystem to support our growing scale and diverse workloads.
What Makes This Role Compelling
- 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
Responsibilities
- 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.
- 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.
Who You Are
Minimum requirements
- 10+ years of professional software engineering experience
- Demonstrated track record of designing, building, and operating large-scale distributed storage or data infrastructure systems.
- Deep experience with object storage (S3, Azure Blob, or equivalent) — including IAM, access control policy design, lifecycle management, and operational practices at petabyte scale.
- Proven ability to lead complex, multi-quarter infrastructure projects end-to-end, including cross-team dependency management and coordinating migrations across many consuming teams.
- Strong background in authorization and access control design for distributed data systems.
Preferred requirements
- 5+ years of Backend/Infrastructure Software Engineering experience.
- Experience safely executing large-scale data migrations with a strong instinct for sequencing, blast radius reduction, rollback, and data integrity validation.
- A strong developer experience sensibility: the ability to build abstractions that are ergonomic, well-documented, and actively reduce toil for the engineering teams that depend on your platform.
In-office expectations
Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
Pay and benefits Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.
How we rate this
Staff Backend Engineer, Data Platform at Stripe rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Walk me through how you've used Apache Iceberg in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Distributed Systems, Data Governance, Cloud Architecture, and Apache Iceberg. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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