peers. Using architecture design and modelling techniques, patterns, tools and standards to clearly communicate concrete architectures and reference patterns. Experience of data modelling, database schema design, normalization, indexing, partitioning, sharding, replication, data quality assessment and data lifecycle management. Experience of selecting and using database technologies, including relational databases (e.g., Oracle, SQL Server, MySQL), NoSQL databases (e.g., MongoDB, DocumentDB, Cassandra, Couchbase) and other database type (Graph, Ledger, Vector). Experience of different data transfer and transformation Extract, Transform, Load (ETL, ELT) tools and processes (e.g., AWS Glue, Informatica, Talend, Apache NiFi) in modern data platforms. Details. ...