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Skill Check · Data & AI

Head of Data Engineering: skills & capabilities the market requires

Based on 79 real Head of Data Engineering job postings, here is what companies actually require for this role today — the capabilities that define it, the hard skills named most often, the scope expected, typical experience and pay. The market leans hardest on Technical Depth (89%) and Strategic Leadership (77%).

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Core capabilities for a Head of Data Engineering
Technical Depth89%
Strategic Leadership77%
Data & Analytics61%
Go-to-Market & Sales56%
People Leadership56%
Risk, Security & Compliance51%
Cross-functional Leadership47%
Share of Head of Data Engineering postings that call for each capability.
Most-required hard skills for a Head of Data Engineering
Data EngineeringSqlData GovernancePythonSnowflakeData ModelingData Pipeline Development
Leadership & soft skills
Cross-Functional CollaborationStrategic ThinkingLeadershipCommunication
Scope, experience & pay

Head of Data Engineering roles expect deal / M&A experience in 0% of postings, IPO or capital-markets experience in 5%, and transformation experience in 39%. Typical stated experience is around 10 years. The pay signal from postings (base, where stated) runs $174K–$193K.

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Percentages are the share of postings that mention a signal, not a measure of importance. Baseline pilot. Quarter-over-quarter movement begins from the next collection. Levels covered: Director and above. Mid-level is not in this data. Real executive job postings, parsed for required skills, scope, credentials and compensation.
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