Design RAG Retrieval for Data Assets

Quick Overview

This question evaluates skills in designing hybrid retrieval pipelines over enterprise metadata, including competencies in information retrieval, exact-match and semantic representations, access control and data governance, relevance reranking, and scalable system architecture.

Design RAG Retrieval for Data Assets

Company: Databricks

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates skills in designing hybrid retrieval pipelines over enterprise metadata, including competencies in information retrieval, exact-match and semantic representations, access control and data governance, relevance reranking, and scalable system architecture.

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Databricks
May 2, 2026
mediumSoftware EngineerTechnical ScreenML System Design
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