Data Architect to Data Engineer

Summary: None of the 6 core skills listed for Data Engineer match Data Architect word for word, but 5 build on related experience. The US median salary changes by -21% ($165K → $130K). Difficulty: Moderate, typically around 6 months of focused upskilling.

The two roles

Data Architect: Data Architect designing data warehouses and cloud data platforms.

Data Engineer: Build and maintain data pipelines and infrastructure for analytics. Growth outlook +30%; AI-augmented (AI changes how the work is done, not whether it exists). Typical education: bachelor. Typical experience: 2+ years.

Skills that carry over

None of the listed skills match word for word, but the related experience below transfers.

Builds on related experience

• SQL — builds on Data Warehouse Design
• ETL — builds on Data Warehouse Design
• Cloud Platforms — builds on Cloud Data Platforms
• Data Warehousing — builds on Data Warehouse Design
• Spark — builds on Data Warehouse Design

Skills to learn for Data Engineer

• Python

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

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Related

Data Architect career guide | Data Engineer career guide

Other transitions to consider

• Data Architect to Database Administrator — 5 of the core skills carry over
• Data Architect to Analytics Engineer — 3 of the core skills carry over
• Data Architect to Business Intelligence Developer — 2 of the core skills carry over
• Data Scientist to Data Engineer — 5 of the core skills carry over
• Data Analyst to Data Engineer — 5 of the core skills carry over
• Database Administrator to Data Engineer — 5 of the core skills carry over
• ML/AI Engineer to Data Engineer — 2 of the core skills carry over