Senior Data Engineer I

Enterprise Technology Services

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed, by supporting the delivery and operations of technology capabilities, platforms, and services globally. Specifically, the team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for external customers and internal colleagues. It also encompasses product management for core enterprise platforms, as well as technology risk and information security; enterprise data governance and platforms; digital product and design; and enterprise AI platforms across the American Express enterprise.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Responsible for GCP Core Platform engineering across various capabilities (DataProc, Dataflow, PubSub, BigTable, GCS, TFE, Composer...).

• 8 – 12 yrs of minimum experience required. 

• Expertise in cloud architecture fundamentals (compute, network, storage, and security) ensuring high availability, visibility, and compliance.

  
  

• Hands-on experience with GCP and Big Data technologies — Big Query, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and IAM.

  
  

• Engineer fault-tolerant, self-healing, and high-throughput systems optimized for concurrency, latency, and compute efficiency.

  
  

• Proven experience leading large-scale Enterprise BigData platforms; defining strategies, standards, and best practices for secure Platform

  
  

• Proficient with CI/CD and automation tools such as GitHub Enterprise, Jenkins, ArgoCD, or Cloud Build.