Lead Data Engineer

We are seeking a highly skilled and experienced BigData Platform Architect to join our team. The ideal candidate will have a proven track record in building large shared platforms and hybrid cloud platforms. This role requires a visionary leader who can develop the vision and roadmap for our DataPlatform, collaborate with business and product teams to establish and drive consensus, and deliver as per the roadmap. Key Responsibilities: Develop and implement the vision and roadmap for the DataPlatform, ensuring alignment with the companys strategic goals. Design and build large shared platforms and hybrid cloud platforms that are scalable, reliable, and secure. Collaborate with business and product teams to establish and drive consensus on platform strategies and initiatives. Lead the architecture and design of data solutions, ensuring they meet the needs of the business and support the companys strategic goals. Provide technical leadership and guidance to development teams, ensuring best practices are followe'd. Stay up-to-date with the latest industry trends and technologies to ensure the DataPlatform remains cutting-edge. Oversee the implementation of data governance and security best practices. Foster a culture of innovation and continuous improvement within the team. Ensure the DataPlatform supports the companys data-driven decision-making processes. Basic Qualifications: 13+ years of relevant work experience with a Bachelor s Degree or an Advanced degree (e.g. Masters, MBA, JD, MD) OR 15+ years of relevant work experience. Preferred Qualifications: Proven experience in building large shared platforms and hybrid cloud platforms. Strong expertise in BigData technologies and architectures. Technologist with excellent leadership and communication skills. Ability to collaborate effectively with cross-functional teams. Strong problem-solving and analytical skills. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Experience in a similar role within a large organization. Knowledge of data governance and security best practices. Familiarity with machine learning and AI technologies. Experience with data-driven decision-making processes. Strong understanding of data privacy regulations and compliance requirements.