5+ years of industry experience in building large scale production systems.
Experience building and owning large-scale stream processing systems.
Experience building and operating robust and highly available infrastructure.
Working knowledge of Relational and NoSQL databases.
Experience working with Data Warehouse solutions.
Experience with industry standard stream processing frameworks like Spark, Samza, Flink, Beam etc.
Experience leading technical projects and mentoring junior engineers.
Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
Responsibilities:
Help support the Data Platform that forms the backbone for several thousand offline workloads at Affirm.
Design and build data infrastructure systems, services, and tools to handle new Affirm products and business requirements securely scaling over millions of users.
Build frameworks and services for managing billions of dollars in loans and enhancing customer experiences.
Improve the reliability and efficiency of the Data Platform at scale and high reliability.
Engage with other teams to ensure optimal use of the Data Platform.