As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

Roles & Responsibilities:

If you have a strong will to learn and educate and are motivated by the
opportunity to help grow our team and be a part of an industry leading.
technology and innovation organization, then look no further! This is an opportunity to lead the Technology Enterprise Data Management (the technical implementation of data governance) while heavily influencing a series of Enterprise Technology capabilities (e.g. AI/ML, Big Data, Cloud, Real-Time Event Processing & Analytics, etc.) to support the end-to-end development and execution of Amex's data management strategy, and to drive engineering excellence. You will have the opportunity to work across business units, enterprise technology teams, and product/platform teams to define and execute strategy, driving the consistency, usability, and governance of our data assets for the respective business unit. You will be solving very interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to make your mark on technology and life at American Express.
What we’re looking for:
You’re a talented, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps – and you’re excited to work with a team of individuals with that same passion. You’ve accumulated years of experience, and you’re excited about taking your mastery of Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You’re no stranger to fast-paced environments and agile development methodologies – in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you’ll do great things here at American Express.
Minimum Qualifications:

•    Bachelor’s Degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields. Advanced degree preferred.
•    Wide breath of engineering experience as backend Engineer in technologies like Java, J2EE, Spring, Micro Services and more to deliver product capabilities.
•    Have strong knowledge in Data Privacy, data security, data sharing aspects of the world.
•    Current hands-on experience with industry leading data management and privacy side tools like BigID, Collibra and other similar tools is a big plus.
•    Experience in working with microservices, web services & API based integration patterns using REST/SOAP, Mulesoft ESB etc.
•    Proficiency in working with Linux commands and scripting and experience in CICD pipeline setup and e2e automation for build, test, and deployment.
•    Experience in front end technologies is a plus
•    Experience in Industry 4.0 initiatives and/or other aspects of corporate data management, e.g. Data Governance, Data Security, Data Privacy and Data Lifecycle Management
•    Experience in high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, Big Query, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc)
•    Experience supporting and working with multi-functional teams in a dynamic environment.
•    Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
•    Implementation experience / good familiarity with DSAR, GBPR, CCPA and others.
•    Confidence in leading and driving the team independently.
•    Fostering relationships with Product and other partner groups.
•    Strong analytical skills and algorithmic problem-solving skills.
•    Knowledge of / experience with Machine Learning is a plus.
•    Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure).
•    Deep understanding of data structures, algorithms & design patterns. 
•    Opensource contributions will be an added advantage.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities