Senior Data Engineer

Job Description

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.

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.

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, No

SQL, 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.

• Mentor and coach Data Engineers while fostering a culture of technical excellence, innovation, knowledge sharing, and continuous improvement across engineering teams.
• Lead and actively contribute within Agile teams, partnering with Product, Architecture, and Business stakeholders to deliver scalable, high-quality data solutions and prioritize work across sprint cycles.
• Evaluate emerging database technologies and platform capabilities, driving the adoption of modern database features, cloud-native services, and engineering best practices across the organization.
• Design and implement scalable logical and physical data models that support high-performance, resilient, and secure enterprise data platforms.
• Engineer, administer, and optimize relational, No
  
  SQL, distributed, and cloud-native database platforms, ensuring scalability, reliability, and operational excellence.
• Lead database performance optimization initiatives, including SQL tuning, execution plan analysis, indexing, partitioning, storage optimization, capacity planning, and workload management.
• Design and maintain highly available database architectures, replication strategies, backup and recovery processes, and disaster recovery solutions to ensure business continuity.
• Establish and enforce enterprise standards for data architecture, database security, governance, automation, and operational best practices.
• Develop Infrastructure as Code (IaC) solutions and automation frameworks to provision, configure, deploy, and manage database platforms efficiently.
• Design and optimize Big Data platforms by implementing advanced data modeling, partitioning, indexing, and distributed data management strategies.
• Partner with cross-functional engineering teams to integrate data platforms with cloud-native applications, CI/CD pipelines, containerized environments, and modern data engineering ecosystems.
• Collaborate closely with…