Principal Data Engineer (RDU IT Data Engineering)

Job Description

As a Principal Data Engineer at Alexion, you will be at the forefront of developing cutting-edge data integration solutions that cater to the dynamic needs of our global data platforms. Your expertise will be pivotal in designing, implementing, and managing robust data pipelines and integration paradigms. Collaborate closely with diverse IT teams to support data-driven decision-making and strategic initiatives. Your mission will be to build scalable, reliable, and resilient data solutions, enhance data quality and observability, and ensure compliance with industry standards and regulations. Become an advocate for data governance and best practices, empowering Alexion to leverage its data assets for business innovation and success. Accountabilities: Develop and maintain high-quality data integration solutions to support business needs and strategic initiatives. Collaborate with IT teams to identify data needs, structure problems, and deliver integrated information solutions. Ensure the quality and security of Alexion s data through the implementation of best practices in data governance and compliance. Stay abreast of industry trends and emerging technologies to drive continuous improvement in data engineering practices. Essential Skills/Experience: masters Degree in Computer Science, Information Systems, Engineering, or a related field. A minimum of 10 years of experience in data engineering, data management, and analytics. Proven track record of delivering large-scale, scalable, secure, and robust data solutions in the pharmaceutical or life sciences industry. Strong experience with SQL, Python, ETL/ELT frameworks, and building data orchestration pipelines. Expertise in cloud architectures, particularly AWS. Proficiency in Snowflake and its features (resource monitors, RBAC controls, etc), dbT, Fivetran, Apache Airflow. Strong analytical, problem-solving, and organizational skills. Ability to effectively communicate complex data insights and solutions to diverse audiences, including senior leaders. Advanced understanding of data warehousing methodologies and data modeling techniques (Kimball, 3NF, Star Schema, ). Understanding of data governance, compliance standards (GDPR, HIPAA), and FAIR and TRUSTED data principles. Desirable Skills/Experience: Extensive experience (5+ years) within the biotech/pharma industry. Familiarity with Kubernetes, Docker/containerization, and Terraform. Knowledge of data quality and observability tools and methodologies to enhance data reliability.