Staff Engineer, Data Engineering Solutions

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse 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 everyones 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 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 youll do

Were 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 Data Engineering 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.

You will:

• 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 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

Were 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

Were looking for someone who has:

• 10 Years of engineering experience with 5 Years of hands-on experience buildingoperating data systems/pipelines datasets/data warehouses infrastructure and leading small teams to deliver exceptional 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
• Extreme 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 AWS Cloud and influencing open-source contributions is a plus.
• Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
• Experience working with Product or Go-To-Market (GTM - 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.

Required Experience:

Staff IC