Head of Data Engineering: skills & capabilities the market requires
Based on 174 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 (79%) and Strategic Leadership (60%).
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Core capabilities for a Head of Data Engineering
- Technical Depth — required in 79% of postings
- Strategic Leadership — required in 60% of postings
- Data & Analytics — required in 58% of postings
- Go-to-Market & Sales — required in 42% of postings
- People Leadership — required in 40% of postings
- Risk, Security & Compliance — required in 39% of postings
- Executive Communication — required in 33% of postings
Most-required hard skills
- Data Engineering
- Sql
- Data Architecture
- Data Governance
- Python
- Data Modeling
- Data Pipeline Development
Leadership & soft skills
- Leadership
- Strategic Thinking
- Cross-Functional Collaboration
- Communication
Scope, experience & pay
Head of Data Engineering roles expect deal / M&A experience in 0% of postings, IPO or capital markets in 3%, and transformation in 23%. Typical stated experience: 8 years. Pay signal from postings (base): $178K–$198K.
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