Senior Software Engineer, Platform

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level - from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.

What you'll do

This position is on our Data Enablement Platform (DEP) team. The Brex product requires a huge amount of data to power our client experiences. With a largely async architecture, proliferation of services and multiple operations systems, this data originates from many different sources and in different forms. To ensure that our product experience is unbounded in how it leverages this data, the Data Enablement Platform team owns and operates the systems required to deliver it to our clients, and partners with them to create impactful data-backed products. As a DEP team member you will help build Brex's Data Infrastructure and also work across the entire data stack to help product teams build data backed products.

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
• This role will be based in our either our New York or San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Bonus points

• Experience collaborating with product teams or building full-stack data backed products
• Experience with data architecture and data strategy.

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.