Staff Software Engineer, Data Platform
US, Canada
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.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 Platform delivers data infrastructure and tools that power Stripe products and enable internal employees to make informed decisions and build data-centric products. We keep security, performance, and reliability as top priorities, so we can create clean interfaces on our platform to enable Stripe engineers to focus on building great products for our users. We operate at large scale on servers across the world and on hundreds of petabytes of data. The Data Platform includes a wide range of well-known open source technologies, including Spark, Hadoop, Airflow, Presto/Trino, Iceberg, Kafka, Pinot, Flink, and Elasticsearch, as well as a number of vendor-provided and internally-developed technologies..
What you’ll do
As a Technical Leader, you’ll be responsible for driving forward progress across multiple organizations for Stripe’s most critical initiatives. Your work will have a direct correlation between Stripe's (and our user's) bottom line, while setting the stage for how
Responsibilities
- Define and own the technical roadmaps for large cross-cutting efforts that span the Data Platform, with Stripe-wide impact
- Own and drive cross functional partnerships with organizations spanning Infrastructure, Data Engineering, Data Science, ML Engineering, Product Engineering, Finance, Risk, Operations, and GTM teams, and partner closely with the leadership/stakeholders of various teams within those organizations
- Establish project owners and contribute to prioritization and execution with the appropriate amount of urgency
- Present clear, thoughtful, and opinionated analysis to senior leaders, enabling them to make tough and thoughtful decisions with clear tradeoffs
- Have excellent judgment and operate with minimal oversight
- Mentor and sponsor experienced managers and/or very experienced engineers, assist with team growth and development, and set the culture bar for excellence and technical curiosity
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
- Minimum of 15+ years of engineering experience OR equivalent combined work experience reflecting domain expertise as relevant to this position
- Demonstrated experience of leading company-wide initiatives spanning multiple teams and organizations and leveraging deep domain expertise to influence tech roadmap planning and execution
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
- Demonstrated ability to balance execution and velocity with security, reliability, and efficiency
- Experience, mentoring, and investing in the development engineers and peers
Preferred qualifications
- Expertise with tackling complex, distributed systems/infrastructure challenges at scale
- Relevant data platform domain experience
- User-centric orientation and track record for productizing complex infrastructure
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Distributed Systems Elasticsearch Engineering Finance Flink Hadoop Kafka Machine Learning Open Source Security Spark
Perks/benefits: Career development
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