The Head of Data Engineering is responsible for building, scaling, and evolving enterprise data engineering capabilities to enable analytics, AI/ML, and business intelligence across a multi-platform, multi-cloud ecosystem
Job Summary
The Head of Data Engineering is responsible for building, scaling, and evolving enterprise data engineering capabilities to enable analytics, AI/ML, and business intelligence across a multi-platform, multi-cloud ecosystem.
This role leads a high-performing team, drives architectural standards, and ensures alignment with enterprise data governance and security policies while serving as a key advisor to senior leadership.
Success is measured by a scaled and reliable data platform enabling business agility, reduced time to insight through automation, high team engagement, and strong stakeholder confidence in delivering strategic value.
Matching Summary
The Head of Data Engineering is responsible for building, scaling, and evolving enterprise data engineering capabilities to enable analytics, AI/ML, and business intelligence across a multi-platform, multi-cloud ecosystem.
Skills & Requirements
Must-have
modern data pipelines
cloud-native architectures
data platform architecture
real-time streaming systems
data pipeline orchestration
data governance and security
team leadership in data engineering
Nice-to-have
psychological safety culture
continuous improvement mindset
cross-functional collaboration
business and technical alignment
automation and reusability focus
career development programs
Key Requirements
8–10 years leadership experience
8+ years building ETL/ELT pipelines
5+ years Java or equivalent backend
Bachelor’s degree in Computer Science or related field