What you will be doing: Design, build, and maintain scalable data pipelines and lakehouse structures Deliver data solutions supporting analytics, BI, machine learning, and Generative AI applications Apply enterprise data lake and lakehouse principles to ensure solutions are reliable, secure, governed, and fit for downstream consumption Translate business and analytical requirements into production-ready data solutions Build and operate solutions using Databricks, including Delta Lake, Databricks Jobs & Workflows, Unity Catalog, Databricks Bundles, notebooks, and shared libraries Enable data consumption for Gen AI use cases such as RAG, AI services, and agent workflows Support analytics platforms, reporting tools, and downstream operational systems Build data pipelines for Generative AI applications, including curated knowledge datasets, structured and semi-structured data, metadata, and lineage management Enable Gen AI data patterns including Retrieval Augmented Generation (RAG), pro...