The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
American Express is embarking on an exciting transformation driven by an energetic new team of high performers. This group is nimble and creative with the power to shape our technology and product roadmap. If you have the talent and desire to deliver innovative digital and servicing products at a rapid pace, serving our customers seamlessly across physical, digital, mobile, and social media, join our transformation team! You will be part of a fast-paced, entrepreneurial team responsible for delivering projects platform supporting our global customer base.
Our Engineers that join our Technologies team will be assigned to one of several exciting teams that are responsible for development and management of data intensive business-critical platforms. You will be part of a fast-paced, entrepreneurial team responsible for delivering projects platform supporting our global customer base. You will be challenged with transforming pain points into innovative engineering solutions to deliver against the existing and future needs of our customers. Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new perspectives are at the core of how we create a more powerful, personal, and fulfilling experience for all our customers.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Responsibilities:
- Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery.
- Drive user story analysis and elaboration, design and develop data intensive applications, and test and build automation tools.
- Own all technical aspects of software development and data engineering (architecture, design, and development of systems) for applications in the portfolio.
- Perform hands-on software development, writing code, API specs, executing proof of concepts, conducting code reviews, and testing in ongoing sprints.
- Design, develop, and maintain batch and real-time data pipelines using GCP services such as Dataflow, Dataproc, BigQuery, Pub/Sub etc.
- Build and optimize ETL/ELT workflows to process large-scale structured and unstructured datasets.
- Develop reusable data ingestion frameworks ensuring high data quality, reliability, and consistency.
- Implement and optimize data models (e.g., star and snowflake schemas) in BigQuery for analytical use cases.
- Monitor and troubleshoot pipelines; implement data validation, logging, and alerting mechanisms.
- Drive consistent development practices - tools and common components.
- Develop deep understanding of tie-ins with other systems and platforms within the supported domains.
- Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.
- Identify opportunities for adopting new technology to solve existing needs and predicting future challenges.
- Effectively communicate to internal and external business partners on solution design.
- Coaching and mentoring engineers on the team
Qualifications:
- Functional Skills
- Strong analytical & strategic thinking skills
- Ability to interpret technical /business objectives and challenges.
- Porting/Software Configuration
- Agile Methodologies
- Software development/ testing
- Deep understanding of data engineering best practices and pipeline design.
- Object oriented analysis and design across multiple platforms.
- Designing High Availability applications
Minimum Qualifications
- Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.
- Preferred Qualifications
- 8+ years of commercial software development experience
- Proficient in developing, hosting solutions on Google Cloud Platform - Google Cloud Storage and Big Query.
- Hands-on experience on Big Data platforms (Scala/Spark/Hive SQL) and SQL, and non-relational DBs
- Hands-on experience with Apache Spark and distributed data processing
- Experience and proficiency in ETL (Extract, Transform, Load) processes and tools and data modelling in Big Data platform
- Proficiency in Secure File Transfer (SFT) operations and its utilization in data management
- Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline and orchestration tools such as Cloud Composer (Airflow)
- Experience with automated release management using Maven, Salt, Git, Jenkins
- Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.
- Good understanding of data structures, algorithms, and design patterns
- Great written communication and documentation abilities
- Looks proactively beyond the obvious for continuous improvement opportunities.
- Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
- Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
Secondary Skills:
- Design and develop end-to-end business intelligence solutions using the Power BI stack.
- Define and implement robust data models, metrics, and KPIs to support reporting and advanced analytics.
- Design, develop, and optimize scalable multidimensional and tabular data models to enable interactive analytics and reporting.
- Demonstrate strong proficiency in DAX, Power Query, and SQL, along with expertise in designing intuitive and visually compelling Power BI dashboards and reports to drive data-driven decision-making.
- Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models) to ensure high performance, scalability, and reliability.
- Develop and maintain BI frameworks, semantic layers, and metadata repositories to support data governance, standardization, and administration.
