Data Engineer III

Next Generation Data management provides world class data management services to American Express Technologies. NGDM primarily engages with Business System Development teams to develop data architecture and database solutions. A core remit is to manage and architect models of data, map these models to provide database solutions which are further optimized for utilization by applications. NGDM team aligns with AET long-term strategic outcomes, leverages AXP transformation program objectives, proactively manages AXP and industry data growth expectations, leverages industry proven database technology.
Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree preferred.
Strong Amex business Domain knowledge .
10+ years of database development experience in a professional environment and/or comparable experience.
Hands-on experience with design and development across one or more database management systems, such as Postgres, Oracle, Couchbase, Cassandra, Mongo
Hands-on experience handling operational tasks of NosqL Databases such as Couchbase, Cassandra, Mongo database upgrade/downgrade, capacity expansion, backup and recovery, performance tuning or any Open Source Technologies like Postgres , MySQL
Good to have experience on Automation experience using Ansible for Infrastructure use cases like Upgrade , Patching ,etc
Practical experience with Data Architecture, translate business data requirements into data models (Conceptual, logical, physical) and using data modeling tools.
Experience in coordinating with multiple development, infrastructure, framework, and production support teams.
Experience in one of the public cloud platforms like AWS, GCP, and Azure preferred.
Experience with distributed/multi-tier systems and application development, including software development experience in languages such as Shell, Python, Go, Java; experience with implementing web APIs; front-end development experience in React or Angular.
Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
Experience developing tools for database automation preferred.
The Data Engineer III will be responsible for designing, developing, and maintaining scalable, highly available, and reliable enterprise database platforms supporting critical business applications at American Express. This role will focus on relational and NoSQL database technologies, including Couchbase, Cassandra, MongoDB, and PostgreSQL, with key responsibilities spanning database lifecycle management, performance optimization, capacity planning, backup and recovery, and infrastructure automation. The position will drive operational efficiency through automation, enhance database platform stability and scalability, and collaborate with cross-functional engineering teams to deliver secure, resilient, and high-performing database solutions aligned with enterprise technology standards and business objectives.
Design, develop, implement, and support enterprise-scale relational and NoSQL database platforms, ensuring high availability, scalability, performance, and reliability.
Manage end-to-end database lifecycle activities, including installation, configuration, upgrades, patching, capacity expansion, backup, recovery, and performance optimization.
Engineer and maintain distributed database clusters supporting mission-critical applications and high-volume transactional workloads.
Develop and implement infrastructure and database automation solutions using Ansible, Python, Shell scripting, and other automation frameworks to improve operational efficiency.
Collaborate with application development and architecture teams to design efficient data models, optimize database access patterns, and address complex performance challenges.
Drive proactive database monitoring, troubleshooting, root cause analysis, and continuous improvement of database platform stability.
Support database infrastructure modernization initiatives, including cloud adoption, automation, and platform standardization.
Integrate database engineering and operational processes with Agile and CI/CD practices to enable efficient and reliable deployments.
Partner with cross-functional engineering, infrastructure, and production support teams to resolve technical challenges and deliver scalable database solutions.
Contribute to database engineering standards, technical documentation, operational procedures, and best practices for enterprise database environments.

Work arrangement
Hybrid