Data Engineer II _ Big Data, GCP _EDAI

The Enterprise Data and AI organization unites the data governance, strategy, engineering, and product teams with those responsible for AI engineering, generative AI enablement, and automation product and engineering. This group plays a pivotal role in leveraging data as a core driver of innovation and integrating AI capabilities to transform products, operations, and customer experiences. ​

The EDAI organization also incorporates technology Research & Development and experimentation with emerging capabilities, along with engineering support for Amex Digital Labs. This integration ensures that research breakthroughs seamlessly translate into business impact.​

Unified Data Intelligence Technology builds and enables a trusted, scalable, and accessible enterprise data foundation that powers analytics and AI/ML across the organization. It delivers a centralized, cost-efficient unified data platform with elastic performance, standardized batch and streaming ingestion, and optimized compute, while embedding strong governance through enterprise metadata, data quality monitoring, role-based security, and regulatory compliance. The technology empowers teams with self-service analytics, reusable and well-governed data products, and end-to-end ML enablement, all enhanced by an intelligence layer that leverages metadata, semantic services, knowledge graphs, and AI-driven capabilities to improve data discovery, understanding, and decision-making at scale.​