Job Description

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 Architecture while heavily influencing the Enterprise Machine Learning Platform and Enterprise Real-Time Event Processing & Analytics Platform to support the end-to-end development and execution of Amex's data management strategy. 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.

This role within American Express Technology (AET) will report to the Staff Architect of Enterprise Data Architecture & Intelligence, who reports into the VP of Engineering overseeing Enterprise Data Architecture, Enterprise Machine Learning Platform, Enterprise Real-Time Event Processing and Analytics Platform, as well as Chairing the Model Technology Risk Committee.

Responsibilities:

Be a very skilled architect with cross-functional and cross-domain know-how.
Sketch the data solution architecture, then monitor and govern the implementation. 
Partner with business, product, engineering and data science teams to unlock the power of leveraging data across Amex by translating business requirements/problems to solutions, products, or services.

Partner with the Staff Architect to drive data vision, strategy, and execution that meets the technology and business' needs including creating a highly scalable Core Data Element architecture comprising of operational and product data to build a Data fabric foundation for the enterprise.

Partner with development teams in the data design of complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.
Enforcing data architecture standards, procedures and policies to ensure consistency across different program and project implementations.

Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions

Be a thought leader around all things Data, reviewing current and future needs alongside the Executive Team

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.
5+ years of hands-on experience with one or more major programming/scripting languages such as Java, Linux, Python, NodeJS and/or R
4+ years of experience in working with ETL tools such as Informatica, Talend, Pentaho and/or similar tools.
4+ years of experience in designing solutions for multiple large data warehouses with a 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.).
Current 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 following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus:

Amazon Kinesis / GCP PubSub
Apache Flink
Apache Kafka (Preferred)
Apache Kylin
Apache NiFi
Apache Samza
Apache Spark (Preferred) 
Apache Storm
Hadoop
Hive
Zeppelin/ Jupyter

Experience and knowledge with data security and privacy concerns
Experience supporting and working with cross-functional teams in a dynamic environment
Strong analytical skills and algorithmic problem-solving skills.
Knowledge of / experience with Machine Learning is a plus
Knowledge of / experience with Omni-channel CX is a plus