Data Architecture, Data Mesh, AWS, Data Lakes, Data Warehouses, ETL, S3, Redshift, Glue, Lake Formation, Lambda, Data Governance, Data Catalog, Data Lineage, Data Products, Cloud Data Platforms, Agile, Scrum, Kanban, Jira, Confluence, SAFe, Team Leadership. The strongest candidates will be able to explain not only what data technologies they have used, but how they personally designed the architecture, implemented the pipelines, established governance, supported data domains, and led engineering teams .