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 teamData Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company.
What you’ll doResponsibilities- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
- Build and operate large-scale data discovery, metadata, or catalog platform
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements- This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
- Strong distributed systems fundamentals are a must — this team's core services are high-availability infrastructure that the rest of Stripe's data tooling depends on
- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
- Thrive with high autonomy and responsibility in an ambiguous environment
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment
- Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud - experience with all or some of these tools is a huge plus
- Influencing open-source contributions
- Experience creating and maintaining data marts / warehouses to power business reporting needs
- Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide
Skills Required
- 10+ years building and operating data systems, pipelines, warehouses, and leading teams
- Strong distributed systems fundamentals and experience with high-availability infrastructure
- Skilled at diagnosing and resolving deep-rooted data quality and inconsistency issues
- Knowledge of a backend language such as Scala, Java, or Go
- Strong SQL experience
- Extreme customer focus and ability to partner with product and business stakeholders
- Effective cross-functional collaboration and clear communication for difficult decisions and trade-offs
- Ability to work autonomously in ambiguous environments and foster an inclusive team environment
- Experience with Iceberg, Kafka, CDC, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, or AWS Cloud
- Experience creating and maintaining data marts/warehouses for business reporting
- Experience influencing open-source contributions
- Experience collaborating with Product, GTM, Sales, or Marketing teams
- Experience leveraging AI/LLM and Agents at scale for data production and analysis
- Strong written and verbal communication for leadership and company-wide audiences
Stripe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stripe and has not been reviewed or approved by Stripe.
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Healthcare Strength — Healthcare is positioned as comprehensive across mental, physical, and medical plans. Mental-health support is repeatedly surfaced as a meaningful part of overall coverage.
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Parental & Family Support — Parental leave and fertility benefits are highlighted as core elements of the package. Leave-related benefits are portrayed as a standout area of support for families.
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Fair & Transparent Compensation — Compensation is framed as a relative strength compared to other parts of the employee experience. Pay is frequently characterized as competitive and, for many roles, perceived as fair in absolute terms.
Stripe Insights
What We Do
Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.






