. Data Architecture experience in a large complex data ecosystem, domain expertise with complex high-tech environments.
. Experience in Industry 4.0 initiatives and/or other aspects of corporate data management; e.g. Data Governance, Data Security, AI/ML, Data DevOps.
. Hands-on experience with one or more relational SQL and NoSQL databases (PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc).
Job Description:
. Develop Entity-Relationship, Dimensional, Canonical and other Data Models for the Enterprise
. 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 business, product, engineering and data science teams to unlock the power of leveraging data across Amex.
. 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
. Experience with any of the following Data Modeling tools (or similar tools) (Archi, ER/Studio, Erwin Data Modeler, Oracle SQL Developer Data Modeler, Power Designer, SQL DBM)
. 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 Kylin, Apache NiFi, Apache Samza, Apache Spark, Apache Storm, Hadoop, Hive, Zeppelin/ Jupyter).