Data Architect at Hybrid - (note: Mainframe, Db2 experience must)

Right now they have a data architect role that I would like to fill asap. It s a combination of below two requirements but you can remove MongoDB requirements..: if the candidate has mainframe experience, it will be a huge plus. Data Engineer or Architect 1. Kafka Expertise
3. Event-Driven Architecture (EDA) experience - asynchronous, CQRS
4. Data Modeling, Transformation, and Rules
5. Python, Java, Scala, or Node.js.
6. AWS Experience Data Architect: Understanding the functional/process requirements and data needs to determine data sources and data sets
Source ingestion requires collaboration with the TMNA One Tech team for the understanding of supported integration patterns with source system.
This role will identify source ingestion requirements and work with data stewards and OneTech enterprise architects for guidance and approvals
After connection is established with source system, this role will work with the team to analyze raw data and ingest it into our 2WSC staging environment
Thus, should be to collect data from multiple siloed systems, join, transform and curate it create a contextualized data set; develop data curation & aggregation code in AWS account, leverage Lambda Functions and Glue jobs in Python
Develop, Build and Automate Data Pipeline in AWS, integrate with Git code repositories, and with APIs
Leverage AWS managed services for faster code development, data & network security