Principal Data Engineer

Role Overview: As a Data Engineering Leader at the company, you will be responsible for driving technical excellence in data management and architecture. Your role involves designing and delivering high-quality data solutions, ensuring compliance with regulatory requirements, and providing technical leadership across the data product development lifecycle. Your expertise will be crucial in improving data management efficiency through AI capabilities and best practices. Key Responsibilities: - Work independently or as a team member to ensure timely delivery of products and goals - Write clean and scalable code to handle large volumes of data - Embed Privacy-by-Design principles into data solutions - Design data structures and taxonomies supporting standardization and alignment with business processes - Provide technical leadership through analytical thinking and innovation - Drive data product execution and adoption through a metrics-based approach - Foster influential cross-functional relationships for scalable solutions - Possess strong collaboration skills and ability to influence across all levels - Communicate clearly and succinctly to translate organizational goals into execution plans - Motivate others through a shared vision and lead with empathy - Delegate work effectively and operate with transparency and honesty Qualifications Required: - 12+ years of experience in enterprise data management with expertise in data governance, architecture, and platform design - Proven experience in enabling data products at scale within large organizations - Strong technical acumen and expertise in data modelling and architecture - Proficiency in building and optimizing data platforms using various technologies - Experience with cloud-based data platforms, particularly GCP - Demonstrated success in supporting ML/AI workloads and integrating AI into data workflows - Excellent communication skills and ability to collaborate effectively across teams - Adaptive, self-motivated, and able to navigate shifting priorities effectively - Bonus: Experience bridging the gap between data engineering and machine learning engineering - Bonus: Experience in financial services, particularly in the credit risk domain - Education: BS or advanced degree in Engineering, Computer Science, or related technical field About the Company: The company is guided by core values of Inclusion, Innovation, Collaboration, and Wellness. They prioritize working together as a global team with customers at the center of everything they do. The company fosters a culture of diversity and inclusion, ensuring all employees feel empowered to contribute to their full potential. For more information about the company's culture and community, you can visit their website at https://about.pypl.com/who-we-are/default.aspx. The company is committed to diversity and inclusion and encourages candidates of all backgrounds to apply.,