Senior Data Engineer I

American ExpressPhoenix, AZ
$123,000 - $215,250

About The Position

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. Senior Data Engineer I is responsible for the architecture, design, engineering, and optimization of enterprise-scale data platforms that power mission-critical business capabilities. This role transforms logical data architectures into scalable, resilient, and secure physical implementations across relational, NoSQL, distributed, and cloud-native database technologies. The Senior Data Engineer drives technical excellence by leading database architecture, administration, performance optimization, high availability, disaster recovery, and operational resiliency initiatives. Leveraging deep expertise in large-scale database systems, the role ensures optimal performance, scalability, security, and reliability while delivering highly available, cloud-native data solutions. Working closely with Product, Architecture, Platform Engineering, and Business stakeholders, the Senior Data Engineer leads the adoption of modern data engineering practices, automation, Infrastructure as Code (IaC), and emerging database technologies. The role is instrumental in advancing enterprise data platforms through sophisticated data modeling, query optimization, partitioning, indexing, and distributed data management strategies, enabling high-performance, data-driven applications at scale.

Requirements

  • Deep expertise in large-scale database systems.
  • Experience with relational, NoSQL, distributed, and cloud-native database technologies.
  • Experience with data modeling, query optimization, partitioning, indexing, and distributed data management strategies.
  • Experience with Infrastructure as Code (IaC).

Responsibilities

  • Architecture, design, engineering, and optimization of enterprise-scale data platforms.
  • Transforming logical data architectures into scalable, resilient, and secure physical implementations across relational, NoSQL, distributed, and cloud-native database technologies.
  • Leading database architecture, administration, performance optimization, high availability, disaster recovery, and operational resiliency initiatives.
  • Ensuring optimal performance, scalability, security, and reliability of large-scale database systems.
  • Delivering highly available, cloud-native data solutions.
  • Leading the adoption of modern data engineering practices, automation, Infrastructure as Code (IaC), and emerging database technologies.
  • Advancing enterprise data platforms through sophisticated data modeling, query optimization, partitioning, indexing, and distributed data management strategies.
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