Databricks and Scale AI FDE Interview Guide
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Databricks Field Engineering
Process: Recruiter screen, technical screen (SQL/Python), system design (lakehouse), customer scenario role-play, behavioral.
Focus: Spark, SQL fluency, Delta Lake, simplifying complex concepts.
Tips: Learn Unity Catalog, Delta Lake, MLflow. Practice explaining data concepts to non-technical audiences.
Scale AI FDE
Process: Recruiter screen, coding (Python), system design (ML workflow), case study, cross-functional meeting simulation.
Focus: Python, ML/AI workflows, data quality, client communication.
Tips: Understand AI data supply chain. Read about Scale Data Engine. Show context-switching ability.
Have you interviewed at either? Share details below.
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