Staff Software Engineer, Business Data

Details

Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. The mission is to increase the GDP of the internet.

The Business Data team builds the canonical data foundation that powers decision-making across Finance & Strategy, Business Data Science, Go-To-Market, and Marketing. The team engineers scalable and efficient data pipelines and provides curated data products that give Stripe teams a consistent, accurate, and fresh view of the business. The team also partners with AI, Data Science, and Business Systems to deliver high-quality data assets for growth motions, product performance tracking, and go-to-market metrics reporting.

Responsibilities

• Lead the technical outcomes for a team of engineers by providing mentorship, guidance, and support.
• Partner with the recruiting team to attract and hire top talent.
• Deliver cutting-edge data pipelines that scale to users' needs, with a focus on reliability and efficiency.
• Develop subject matter expertise and manage the SLAs of data pipelines and full-stack web applications supporting critical stakeholders.
• Collaborate with product managers and peers to create and improve canonical datasets and data warehouses, use golden paths, and ensure trustworthy data usage.
• Leverage AI, large language models, and agents at scale to produce and analyze high-quality data for ambiguous problems.
• Drive key data initiatives across the full development lifecycle, from planning through delivery, while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive environment that promotes innovation, knowledge sharing, and continuous improvement.

Requirements

• This is a Staff-level role, typically requiring 10 or more years of experience building and operating data systems, pipelines, warehouses, and infrastructure, as well as leading teams.
• Strong engineering background and passion for data, with experience writing and debugging data pipelines using a distributed data framework.
• Ability to investigate data inconsistencies, pinpoint issues, and resolve deep-rooted data quality problems.
• Knowledge of a backend development language such as Scala, Java, or Go, along with strong SQL experience.
• Extreme customer focus and a commitment to partnering with product leaders, business stakeholders, and other engineers.
• Effective cross-functional collaboration, rigorous thinking, clear communication, and the ability to make or coordinate difficult decisions and trade-offs.
• Ability to thrive with high autonomy and responsibility in an ambiguous environment.
• Ability to foster and work in a healthy, inclusive, challenging, and supportive environment.

Preferred Qualifications

• Experience with some or all of the following technologies: Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud.
• Experience influencing open-source contributions.
• Experience creating and maintaining data marts and warehouses for business reporting.
• Experience collaborating with Product, Go-To-Market, Sales, or Marketing teams.
• Interest in innovation and understanding how systems work, with the ability to question and direct architectural decisions.
• Strong written and verbal communication skills for leadership, users, and company-wide audiences.