Staff Software Engineer, Data Quality and Governance

Stripe · Seattle

En corto

▸Liderazgo técnico en infraestructura de datos de calidad y gobernanza a gran escala.
▸Construcción y operación de plataformas de descubrimiento de datos, catálogo y línea de base de datos confiables.
▸Uso de IA/LLM a gran escala para resolver problemas ambiguos de calidad de datos.

🌐 Fluency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años experiencia en sistemas de datos, pipelines y arquitectura de infraestructura.
✓Fundamentos sólidos en sistemas distribuidos con alta disponibilidad.
✓Experto en SQL y lenguaje backend (Scala, Java o Go).
✓Capacidad de liderar equipo y mentorar ingenieros con alto impacto.
✓Enfoque centrado en el cliente con colaboración cruzada fuerte.
✓Capacidad de operar con autonomía en entornos ambiguos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

IcebergKafkaChange Data CaptureFlinkSparkAirflowHive MetastorePinotTrinoAWS Cloud

🎯 ¿A quién escribirle en Stripe?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 Data 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 do Responsibilities • 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 Who you are 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 Preferred qualifications • 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 contri

No apliques sin prepararte

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