Develop, maintain and improve Data Frameworks to accelerate or standardize the stages of the data lifecycle like Data Ingestion, Data Quality, Data Preparation.
Support other teams to adopt new practices, processes and tools over a transition or learning period. Build tools that aid automation in managing operations and support.
Work closely with Data Engineers to troubleshoot critical issues and provide consultation. Conduct post incident reviews for critical issues, document the findings