American Express - Phoenix, AZ
posted about 2 months ago
As a Senior Data / ML Engineer at American Express, you will play a crucial role in the Enterprise Salesforce organization, which is part of the larger Enterprise Platforms Centre of Excellence. This position involves designing, implementing, and maintaining a cohesive data layer that connects the Salesforce platform with various enterprise capabilities. Your work will be pivotal in enabling data and integration capabilities in both real-time and batch modes, ensuring that our Sales and Marketing teams have access to accurate and timely data for decision-making. You will also be responsible for designing and building a data fabric that supports advanced personalization efforts, enabling targeted marketing campaigns based on customer behaviors and preferences. Additionally, you will design, implement, and maintain NLP pipelines for sales practices and monitoring initiatives. In this role, you will collaborate with a diverse tech team, where you can architect, code, and ship software that enhances our customers' digital experiences. You will have the opportunity to work with the latest technologies and contribute to the broader engineering community through open-source initiatives. American Express values continuous professional development, providing dedicated time for you to keep your skills fresh and relevant. You will be recognized for your contributions and leadership, with the opportunity to share in the company's success. The Salesforce platform team is at the heart of American Express' global marketing, sales, and account development functions, making this role critical to the company's customer-centric and growth objectives. You will be expected to perform business requirements analysis, develop ETL data pipelines using open-source big data technologies, and deploy microservices-based APIs over Docker containers. Your ability to work independently and collaboratively with cross-functional teams will be essential in delivering features on time and driving projects from inception to closure.