8122 Data Foundations

Stripe

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 We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data. WHAT YOU’LL DO We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. RESPONSIBILITIES * Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success * Partner with our recruiting team to attract and hire top talent * Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency * 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 * A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework * 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, AWS Cloud - experience with all or some of these tools is a huge plus * Influencing open-source contributions is a huge plus * 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

Stripe

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 Data Foundations team drives Data Engineering and Data Apps and Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. We are looking for talented data-minded software engineers to help us manage business-critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. WHAT YOU'LL DO Every record in our data warehouse is vitally important for the businesses that use Stripe, so we're looking for people with a strong background in software engineering and data to help us scale while maintaining correct and complete data. You'll work with a variety of internal teams across Product, Data Science, and GTM to help them solve their data needs. Your work will provide visibility into how these stakeholders and the Data Foundations organization are performing and how we can deliver a better experience to Stripe's customers. RESPONSIBILITIES * Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions * Develop strong subject matter expertise and manage the service level agreements for both data pipelines and full stack web applications that support these critical stakeholders * Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working with Scala, Spark, and Airflow * Leverage LLMs and Agents at scale to produce high-quality data on ambiguous problems * Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets * Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field * Our tech stack is Spark, Scala, Java, SQL, and Python - and while we don't expect everyone on the team to be an expert in all of these, you will work across all of these technologies throughout your tenure on 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 * Must have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services or data-intensive applications * A strong engineering background and an interest in data * Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Pig, etc.) * 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 * The ability to communicate cross-functionally, derive requirements, and architect shared datasets PREFERRED QUALIFICATIONS * Experience creating and maintaining data marts to power business reporting needs • Experience working with Product or GTM (Sales and Marketing) teams

Stripe

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 We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. WHAT YOU'LL DO We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency • 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 and improve canonical datasets and data warehouses, use golden paths, and ensure Stripe employees and customers are using trustworthy data • Leverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problems • Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologies • 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 • 10+ years of engineering experience with 5+ years of hands-on experience building and operating data systems and pipelines, datasets and data warehouses, infrastructure, and leading small teams to deliver excellent solutions • A strong engineering background and passion for data  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.)  • 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  • Strong customer focus, with a commitment to partnering with Product Managers, leaders, 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 • Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributions • Experience creating and maintaining Data Marts and Data Warehouses to power business reporting needs • Experience working with Product or Go-to-Market (GTM—Sales and 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 stakeholders