The role involves setting and executing a data engineering strategy that aligns with organizational goals. The individual will lead the analysis, architecture, design, and delivery of complex data solutions while ensuring reliability and quality standards are met. Collaboration with cross-functional teams is required to define target architectures and implement data roadmaps. The position includes providing technical leadership through design reviews, code assessments, and mentorship to foster a culture of continuous improvement. Additionally, the role focuses on championing data quality, security, and compliance across the data lifecycle. The individual will also be responsible for building and growing high-performing teams by attracting and retaining top talent.

The role requires three to five years of experience leading a data engineering organization. Candidates must possess a strong foundation in modern data engineering, architecture, and cloud data platforms. Proficiency in programming languages such as Python, Java, or Scala is necessary, along with experience in large-scale processing frameworks and dataflow orchestration tools. The position demands demonstrated thought leadership, cross-functional influence, and the ability to manage complex data environments.