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).