The Data Platform Engineer role is pivotal in shaping the data platform's blueprint and design, ensuring all components are effectively integrated. This position necessitates close collaboration with Integration Architects and Data Architects to maintain consistency across systems and data models. It requires a forward-thinking approach to align platform functionalities with organizational objectives, promote effective inter-team communication, and support the overarching data infrastructure strategy.

This role focuses on enabling robust and scalable data solutions by contributing to the continuous development and refinement of the data platform. The engineer will play a key part in fostering a cohesive data ecosystem that meets current and future business needs.

Take ownership of tasks and develop into a subject matter expert. Actively participate and contribute during team discussions and problem-solving sessions. Provide effective solutions to work-related challenges. Collaborate with various teams to ensure the data platform aligns with business requirements. Identify opportunities to enhance the efficiency and scalability of the data platform. Mentor and support junior team members by sharing knowledge and best practices in data platform management.

A minimum of 3 years of hands-on experience is required. Proficiency in Data Modeling Techniques and Methodologies is a core requirement. A strong grasp of data architecture principles and industry best practices is essential. Experience in designing and implementing scalable data platforms is needed. Demonstrated ability to manage complex data integration scenarios and ensure data consistency. Familiarity with data governance and data quality concepts is beneficial. Effective collaboration skills are necessary to translate business needs into technical solutions with various stakeholders. A 15-year full-time education is mandated for this role.