Engineering Manager, Stripe Data Pipeline

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 Stripe Data Pipeline team builds and operates the product that helps businesses connect their Stripe data directly to their own data warehouses like Amazon Redshift and Snowflake. Our mission is to save our users valuable engineering time by providing a fully managed, reliable, and easy-to-use ETL pipeline. We empower businesses to unlock granular, near real-time data, giving them a complete analytical picture to power their BI tools and custom reporting without having to build or maintain their own data connectors.

The Stripe Data Pipeline is part of Stripe's broader Revenue and Finance Automation (RFA) suite that gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, accounting, reporting, and data services in one modern stack, Stripe's revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

What you'll do

As the Engineering Manager for the Stripe Data Pipeline team, you will lead a group of talented engineers responsible for a critical, customer-facing data product. You will partner closely with product and design to set the strategy and roadmap for a service that thousands of businesses rely on for their own analytics and reporting. You will be responsible for the operational excellence and scalability of the product, ensuring we deliver a comprehensive and trustworthy data pipeline that delights our users.

Responsibilities

• Lead and develop a product-focused team of engineers, fostering a culture of user empathy, high-quality execution, and operational rigor.
• Partner with product managers, designers, and commercial teams to define the strategy and roadmap for the Stripe Data Pipeline product.
• Drive the technical vision for building a highly reliable, scalable, and secure data synchronization service for thousands of Stripe customers.
• Lead, coach, retain, and recruit a high-performing team.
• Work with customers to understand their needs and translate their feedback into tangible product improvements and new features.
• Contribute to engineering-wide initiatives as a member of Stripe's engineering management 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

Preferred Qualifications

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

Skills Required

BigQuery, Data Warehousing, Kafka, Engineering Management, Redshift, ELT, snowflake , Distributed Systems, Cloud Infrastructure, Spark, Etl