The Company is seeking a Head of Data Engineering to take on a pivotal role in the evolution of its data platform. The successful candidate will be responsible for owning and developing the organization's centralized data platform and analytics capabilities, defining the long-term data engineering roadmap, and driving architectural decisions to align with business objectives. This leadership position requires a strong background in data engineering, data platform, or analytics engineering, with a proven track record of owning cloud-based data platforms from strategy to delivery. The role also involves establishing engineering best practices, introducing modern development methodologies, and leading a team of data engineers to ensure the platform delivers measurable business impact. Applicants for the Head of Data Engineering role at the company should have a strong leadership experience, a passion for building data cultures, and a commitment to improving engineering standards. The ideal candidate will have a background in Snowflake and dbt, experience with Python and SQL in modern data ecosystems, and exposure to cloud technologies such as AWS and Azure. Knowledge of orchestration and pipeline tools like Airflow is also essential. The role demands the ability to balance strategic leadership with technical decision-making, mentor high-performing engineering teams, and manage stakeholders effectively across business and technical domains. The company values innovation, AI adoption, and modern engineering practices, and the role offers the opportunity to work in a fully remote, collaborative, and international environment with a strong focus on growth and expansion.