You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
How will you make role impactful?
• Taking your place as a core member of an agile team driving the latest development practices.
• Writing code and unit tests, working with API specs and automation.
• Finding Opportunities for adopting new technologies.
• Leading a team of engineers that delivers knowledge management solutions to businesses worldwide.
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. Big Data, API’s, Web , Cloud, AI/ML, 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
Responsibilities
• Be a very skilled engineer with experience across programing languages, data integration technologies and data management pipelines.
• Partner with business, product, engineering, and data science teams to unlock the power of using data across Amex by translating business requirements/problems to solutions, products, or services.
• Partner Enterprise Tech Data Strategy & Architecture team to develop and implement software that meets the technology and business' needs including creating a highly scalable data management pipelines comprising of operational and product data to build a Data fabric foundation for the company.
• Engineer complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.
• Adopting industry leading technologies to support best-in-class business capabilities for high quality computing and data storage solutions.
Minimum Qualifications
• Bachelor’s Degree in Computer Science, Computer Engineering, or related STEM fields. Advanced degree preferred.
• 8+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• Experience in building and delivering sophisticated platforms that leverage various technologies (e.g. Python, JAVA/J2EE/Web Technologies, APIs/Web-Services) and are able to scale optimally.
• Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc.).
• Hands-on experience with industry leading data management tools that support the data lifecycle, and capable of setting and driving long term data architecture roadmaps in alignment with corporate strategic objectives.
• Experience with any of the Data Management tools (or similar tools): Collibra, Dataguise, Manta, Immuta
• Experience with following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus: Amazon Kinesis / GCP PubSub, Apache Flink, Apache Kafka, Apache Spark, Hadoop
• Experience in development and operation on public Cloud (e.g. AWS, GCP, Azure) is a plus.
• Strong team leadership and talent development mindset
• Excellent verbal and written communications skills
Preferred Qualifications
• Expertise in AI/ML and GEN AI.
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:
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.