Principal Data Engineer – Data & Analytics (Global Supply Chain)

This role acts as technical architect and hands-on lead for Data Engineering practices across the Smart Supply Chain initiative within Amgen. Additionally, responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions.

Requirements

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS, Databricks preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Continuously monitor data governance activities and report on compliance, data quality issues, and the effectiveness of governance initiatives