Staff Software Engineer, Data Engineering Solutions
Stripe · Bengaluru, IN
Pay
$5k–4000k
Setting
On-site
Who we areAbout StripeStripe 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 teamWe'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 doWe'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 successPartner with our recruiting team to attract and hire top talent.Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiencyDevelop strong subject matter expertise and manage the SLAs of data pipelines and full-stack web applications that support critical stakeholdersCollaborate 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 dataLeverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problemsHave an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologiesHave 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 completionFoster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the teamWho you areWe'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 requirements10+ 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 solutionsA strong engineering background and passion for dataPrior 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 issuesKnowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experienceStrong customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use casesEffective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offsThrive with high autonomy and responsibility in an ambiguous environmentAbility to foster and work in a healthy, inclusive, challenging, and supportive work environmentPreferred qualificationsExpertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributionsExperience creating and maintaining Data Marts and Data Warehouses to power business reporting needsExperience working with Product or Go-to-Market (GTM—Sales and Marketing) teamsGenuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisionsStrong written and verbal communication skills for various audiences, including leadership, users, and company-wide stakeholders
Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.