Skill Profile

Delta Lake / Apache Iceberg

ACID transactions, time travel, schema evolution, table formats for data lakes

Data Engineering Data Lakehouse

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 0 optional

Data Engineering

Data Lakehouse

3/17/2026

Choose your current level and compare expectations. The items below show what to cover to advance to the next level.

What is Expected at Each Level

The table shows how skill depth grows from Junior to Principal. Click a row to see details.

Role	Required	Description
Data Engineer	Required	Understands the fundamentals of Delta Lake / Apache Iceberg. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Role	Required	Description
Data Engineer	Required	Independently implements data pipelines with Delta Lake/Apache Iceberg. Optimizes performance. Ensures data quality.

Role	Required	Description
Data Engineer	Required	Designs data architecture with Delta Lake/Apache Iceberg. Optimizes for big data. Implements data governance and quality frameworks.

Role	Required	Description
Data Engineer	Required	Defines Delta Lake/Iceberg standards: table format selection, partitioning strategy, compaction schedules. Implements time-travel for data debugging and schema enforcement.

Role	Required	Description
Data Engineer	Required	Designs open table format strategy: Delta Lake vs Iceberg vs Hudi, catalog integration (Unity/Nessie), cross-engine interop. Defines migration path from Hive tables.

Junior 1 requirements

Data Engineer
Required

Understands the fundamentals of Delta Lake / Apache Iceberg. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Middle 1 requirements

Data Engineer
Required

Independently implements data pipelines with Delta Lake/Apache Iceberg. Optimizes performance. Ensures data quality.

Senior 1 requirements

Data Engineer
Required

Designs data architecture with Delta Lake/Apache Iceberg. Optimizes for big data. Implements data governance and quality frameworks.

Lead / Staff 1 requirements

Data Engineer
Required

Defines Delta Lake/Iceberg standards: table format selection, partitioning strategy, compaction schedules. Implements time-travel for data debugging and schema enforcement.

Principal 1 requirements

Data Engineer
Required

Designs open table format strategy: Delta Lake vs Iceberg vs Hudi, catalog integration (Unity/Nessie), cross-engine interop. Defines migration path from Hive tables.

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