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RADE™ Lakehouse & Medallion Architecture for Data Engineers
Architecture Principles, Design Trade-offs & Interview-Ready Understanding
Course Summary
This course provides a clear, architecture-focused understanding of Lakehouse and Medallion Architecture, designed specifically for Data Engineers who want to reason about modern data platforms at a system level.
As data platforms evolved from traditional data warehouses to data lakes and now to lakehouses, the need for structured architectural patterns became critical. This course explains why Lakehouse architecture emerged, how the Medallion pattern (Bronze → Silver → Gold) works, and how Data Engineers are expected to think about these systems when designing, operating, or discussing them in professional settings.
The focus of this course is conceptual clarity and architectural decision-making, not tool-specific tutorials. You will learn the responsibilities of each Medallion layer, how data flows across layers, and the trade-offs involved in choosing Lakehouse-based designs over warehouse-centric approaches.
This course is part of the RADE Diamond Membership – Applied Data Engineering Mastery Program and serves as an architectural cornerstone for understanding modern data engineering platforms.
What You Will Learn
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Evolution of modern data architectures:
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Data Warehouse → Data Lake → Lakehouse
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Why traditional data lakes face limitations at scale
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Why Medallion Architecture became the industry standard
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Clear responsibilities of:
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Bronze layer (raw ingestion and immutability)
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Silver layer (cleansing, standardization, validation)
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Gold layer (analytics and consumption)
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How data moves across Medallion layers
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Common architectural pitfalls and misconceptions
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How to explain Lakehouse and Medallion concepts clearly in interviews
Who This Course Is For
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Data Engineers seeking architectural clarity
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Engineers preparing for system design and architecture interviews
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Professionals transitioning from ETL-centric thinking to platform thinking
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RADE Diamond members building end-to-end data engineering mastery
Outcome
By the end of this course, you will be able to:
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Clearly articulate Lakehouse and Medallion Architecture
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Reason about layer responsibilities and design trade-offs
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Confidently discuss modern data platform design in interviews
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Understand where data lakes, lakehouses, and warehouses fit conceptually
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Think like a senior Data Engineer or Architect
Course Curriculum
Sachin Chandrashekhar
