| MUST-HAVE SKILLS Databricks Ecosystem - Deep expertise in the Databricks ecosystem and architecture, from design through production. Databricks Genie - Working knowledge of Databricks Genie, Genie Ontology, and the Genie AI Gateway. Agentic AI Implementation - Understanding of agentic implementation, agent building, and orchestration, with hands-on ability to build, validate, and evaluate agents on AWS and Databricks. AgentBricks & Vector Search - Knowledge of AgentBricks and Databricks Vector Search, or general vector search. Data Warehouse & Lakehouse - Rich data warehouse and lakehouse experience, plus data modelling fundamentals. Semantic Foundations - Fundamental knowledge of ontology, knowledge graphs, and semantic layers. Data Cataloging & Glossary - Knowledge of data cataloging tools and business glossaries. | GOOD-TO-HAVE SKILLS Cataloging Tools such as Atlan - Familiarity with commercial cataloging platforms, particularly Atlan, is a bonus. Banking Domain Knowledge - Understanding of banking domains and banking data landscapes. Banking Assets Domain - Exposure to the banking assets domain, including lending and asset products and their data. |