Senior Data Engineer II - Enterprise Data Platforms and Data Management - Enterprise Data & AI

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.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Enterprise Data & AI (EDAI) within Enterprise Technology Services (ETS) is driving the next generation of enterprise data management, governance, lineage, and AI-enabled engineering capabilities at American Express. We are looking for a highly motivated Senior Data Engineer / Technical Lead to help lead and scale our enterprise data lineage and metadata platforms supporting regulatory, operational, and AI readiness initiatives across the company.

This role is ideal for an engineering leader with a strong blend of software engineering, distributed systems, data platform expertise, and innovation mindset who thrives in solving complex enterprise-scale problems. You will partner across engineering, architecture, governance, risk, and business teams to build scalable, cloud-native solutions that improve data transparency, lineage, interoperability, and automation across the enterprise.

You will play a key role in modernizing enterprise data management capabilities through event-driven architectures, GenAI-powered automation, and reusable engineering frameworks.

• Lead design and implementation of scalable enterprise data lineage and metadata solutions across cloud-native and distributed platforms.
• Drive end-to-end engineering delivery for lineage onboarding, metadata ingestion, APIs, and interoperability capabilities.
• Develop modern backend services and reusable frameworks using Java, Python, SpringBoot, GCP, and event-driven architectures.
• Leverage GenAI and automation to improve metadata enrichment, lineage discovery, and operational efficiency.
• Partner with Architecture, Governance, Risk, Product, and Engineering teams to deliver enterprise-scale data management capabilities.
• Lead technical design discussions, mentor engineers, and promote engineering excellence and innovation.
• Strengthen platform reliability, observability, scalability, and operational support across data pipelines and services.
• Champion modern engineering practices including CI/CD, automation, resiliency, and secure software development.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of experience in software engineering, data engineering, or enterprise data platforms
• Strong hands-on expertise in:
  • Java, Python, SpringBoot
  • Distributed systems and event-driven architectures
  • GCP services and cloud-native engineering
  • APIs, microservices, and scalable backend development
• Experience with Kafka, Pub/Sub, streaming pipelines, or real-time data processing
• Strong understanding of metadata management, data lineage, governance, or enterprise data platforms
• Experience delivering scalable, secure, and highly available systems
• Strong problem-solving, communication, and stakeholder management skills
• Proven ability to drive end-to-end delivery across multiple teams and stakeholders
• Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions

Preferred Qualifications:

• Experience with GenAI/LLM-powered engineering solutions and AI-assisted development tools
• Familiarity with data governance and management domain knowledge, platforms related technologies
• Experience with GCP BigQuery, Dataproc, BigTable, and Cloud Composer/Airflow
• Strong understanding of enterprise integration patterns, CDC, and streaming architectures
• Exposure to metadata-driven frameworks and self-service data onboarding capabilities

• Passion for innovation, platform engineering, and solving enterprise-scale data challenges