Staff Data Quality & Governance Architect

Stripe; Washington; On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking a Staff Data Platform Engineer to lead a team responsible for large-scale data discovery, metadata, and catalog infrastructure. You will shape data governance standards, implement reliable data pipelines, and own critical datasets used across product, marketing, and finance.

You’ll collaborate with product managers and engineers, mentor teammates, and drive end-to-end delivery from planning to production, leveraging AI/LLM capabilities to improve data quality while maintaining

Qualifications

• 10+ years building and operating data systems, pipelines, and data warehouses.
• Strong backend and SQL skills; experience with large-scale, highly available services.
• Proven ability to lead teams and collaborate with product and engineering.

Responsibilities

• Lead the technical outcomes for a team of 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 trustworthy data.
• Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems.
• Drive the execution of key data initiatives for Stripe, overseeing the development lifecycle from planning to delivery with quality.
• Foster a collaborative and inclusive work environment, promoting innovation and knowledge sharing.

Skills

Distributed systems

SQL

Backend development

Go/Java/Scala

Leadership

Data catalog

AI/LLM in data

Tools

Iceberg

Kafka

Flink

Spark

Airflow

Hive Metastore

Pinot

Trino

AWS Cloud

Job description

Stripe is seeking a Staff Data Platform Engineer to lead a team responsible for large-scale data discovery, metadata, and catalog infrastructure. You will shape data governance standards, implement reliable data pipelines, and own critical datasets used across product, marketing, and finance.

You’ll collaborate with product managers and engineers, mentor teammates, and drive end-to-end delivery from planning to production, leveraging AI/LLM capabilities to improve data quality while maintaining