The Data Platform team at Affirm is responsible for all things data and drives the strategy for event driven architecture, stream processing, data exploration, discovery and validation. We utilize existing open source technologies like Kafka, Spark, Map Reduce and also build our own as needed. As a member of our team you would spend time identifying and executing on new use cases of data infrastructure, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company!

What you'll do

• Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
• Design and develop stream processing features to execute on our results-oriented event driven ecosystem
• Develop robust, well-instrumented near real time stream processing data pipelines that can scale to handle Affirm's future growth and adhere to strict SLAs.
• Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
• Improve the reliability and efficiency of our core systems.
• Develop scalable data processing systems using MapReduce and Spark.
• Work cross-functionally with various engineering, data science and analytics teams to identify and execute on new opportunities in data-infrastructure.

What we look for

• 7+ years of industry experience in building large scale production systems.
• Experience building and operating robust and highly available infrastructure.
• Experience building scalable and efficient data processing systems.
• Working knowledge of Relational and NoSQL databases.
• Experience working with Data Warehouse solutions
• BS, MS or PhD in Computer Science, Engineering or a related technical field.