Principal Data Engineer

Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data Engineer What you will do Let’s do this. Let’s change the world. In this vital role you will lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices. Design, develop, and implement robust data architectures and platforms to support business objectives . Oversee the development and optimization of data pipelines, and data integration solutions. Establish and maintain data governance policies and standards to ensure data quality, security, and compliance. Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms. Lead and motivate a high-performing data engineering team to deliver exceptional results. Identify , analyze, and resolve complex data-related challenges. Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions. Stay abreast of emerging data technologies and explore opportunities for innovation. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Principal Data Engineer with these qualifications. Functional Skills: Must-Have Skills: Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. Proficie n t on experience i n Python, PySpark , SQL. Handon e xperience with bid data ET L performance tuning . Proven ability to lead and develop high-performing data engineering teams. Strong problem-solving, analytical, and critical thinking skills to address complex data challenges. Good-to-Have Skills: E xperience d with data modeling and performance tuning for both OLAP and OLTP databases Experience d with Apache Spark, Apache Airflow Experience d with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Experience d with AWS, GCP or Azure cloud services Education and Professional Certifications Doctorate degree and 2 years of Data Engineer experience OR Master’s degree and 4 years of Data Engineer experience OR Bachelor’s degree and 6 years of Data Engineer experience OR Associate’s degree and 10 years of Data Engineer experience OR High school diploma / GED and 12 years of Data Engineer experience AWS Certified Data Engineer preferred Databricks Certifi cate preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priori