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 GenAI 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 <...