About the position
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Responsibilities
- Build, improve, and maintain Brex’s data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
- Partner with Brex’s product teams, data science and analytics teams to help them launch superior products backed by data insights.
- Level up the data competency at Brex through partnership and education.
- Invest in building resilient data architectures, participate in on-call rotations, and continuously improve our operational efficiency.
Requirements
- 5+ years of professional experience in a data infra or data platform role
- Experience with one or more of Snowflake, Flink, Airflow, dbt, CDC
- Fluency in Kotlin or Kotlin like development languages such as Python
- Experience building and maintaining large-scale modern data stack
- Experience with streaming infra like Kafka
- Experience in backend engineering or full-stack development
- Strong communication and collaboration skills, especially working across team boundaries and building XFN relationships
- Must be willing to work in office 2 days a week in our office in San Francisco.
Nice-to-haves
- Experience collaborating with product teams or building full-stack data backed products
- Experience with data architecture and data strategy.
Benefits
- Strong equity package
