Our top client has retained our services to find a highly skilled and experienced Global Head of Data Engineering / Data Operations, a strategic visionary who can establish and enforce global data standards, manage metadata and reference data, ensure robust data governance, and oversee a talented team. The ideal candidate will be technically hands-on, particularly in critical situations, with a strong background in Snowflake or similar data analytics warehouses. Experience in the energy, weather, or shipping domains is highly preferred.
Required Skills
- Proven experience in a senior data engineering or data operations role, in a global organization.
- Expertise in Snowflake or similar data analytics warehouses.
- Fluency in SQL and Python.
- Expertise in developing and executing data strategies.
- Experience with data governance, global data standards, metadata, and reference data management.
- Excellent people management and leadership skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering is a MUST
Preferred:
- Experience in the energy, weather, or shipping domains.
Responsibilities:
- Develop and execute a comprehensive data strategy that aligns with the company’s business objectives.
- Lead the data engineering and operations team, fostering a culture of excellence and continuous improvement.
- Establish and enforce global data standards and best practices across the organization. Ensure robust data governance and compliance with regulatory requirements.
- Manage metadata and reference data to maintain data quality and consistency.
- Build and mentor a high-performing data team, providing guidance, training, and development opportunities.
- Lead the design, development, and deployment of scalable data pipelines and infrastructure.
- Utilize advanced SQL and Python skills for data manipulation, analysis, and integration.
- Oversee the implementation and optimization of Snowflake or similar data analytics warehouses.