Senior Principal Data Engineer

We are seeking a Senior Principal Data Engineer to serve as one of the highest-level technical leaders within the Data Engineering organization. Responsible for defining technical strategy, architecting enterprise-scale data platforms, and delivering scalable, secure, and high-quality data solutions. This role combines deep expertise in cloud data platforms, software engineering, enterprise data architecture, data modeling, AI-assisted development, and technical governance. The successful candidate will influence technical direction across multiple business domains, establish engineering standards, and mentor engineers while remaining hands-on with architecture and solution design. Key Responsibilities: Enterprise Data Architecture Design and evolve enterprise-scale data platform architecture supporting analytical, operational, and AI workloads. Define reusable engineering frameworks, reference architectures, and technical standards. Drive long-term platform strategy focused on scalability, security, performance, and maintainability. Technical Leadership Lead architecture reviews, technical design, and engineering governance for strategic initiatives. Partner with engineering leadership to define technology roadmaps and drive engineering best practices. Influence technical decisions across multiple teams without direct people management. Data Engineering & Data Modeling Design scalable ETL/ELT frameworks, enterprise data pipelines, and logical and physical data models. Develop reusable, metadata-driven data integration frameworks. Establish standards for data modeling, metadata management, lineage, and performance optimization. AI-Driven Engineering Champion AI-assisted software development across the engineering organization. Evaluate and implement AI coding assistants and engineering productivity tools. Build intelligent engineering accelerators, including: AI-assisted code generation Automated documentation Code review assistance Test generation Data quality validation AI-powered engineering copilots Drive engineering productivity and innovation through Generative AI. Cloud & Platform Engineering Provide technical leadership across modern cloud technologies including: Databricks Azure AWS Docker Kubernetes Python SQL Git REST APIs CI/CD Data Governance & Engineering Excellence Design secure data platforms with enterprise governance, metadata, lineage, and RBAC/ABAC access controls. Establish software engineering best practices including code quality, testing, automation, observability, and reusable components. Mentorship & Collaboration Mentor senior engineers and principal engineers while fostering engineering excellence. Partner with Product Management, Data Science, Analytics, Data Governance, Enterprise Architecture, and Infrastructure teams to deliver strategic data capabilities. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 7+ years of experience in Data Engineering, Software Engineering, or Data Platform Engineering. Extensive experience designing enterprise-scale cloud data platforms and data architectures. Strong expertise in conceptual, logical, and physical data modeling. Expert-level programming skills in Python and SQL. Hands-on experience with Databricks, Azure, AWS, Docker, Kubernetes, Git, REST APIs, and CI/CD. Strong understanding of software architecture, design patterns, distributed systems, and secure data platform design. Demonstrated ability to lead highly complex technical initiatives through influence rather than direct people management. Excellent communication, stakeholder management, and technical leadership skills. Preferred Qualifications Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries. Experience with Databricks Unity Catalog, enterprise data governance, metadata management, and observability. Experience with Infrastructure as Code (Terraform, Bicep, or similar). Experience applying Generative AI to software and data engineering. Leadership Expectations The Senior Principal Data Engineer is expected to set technical direction, establish engineering standards, accelerate engineering productivity through automation and AI, mentor engineers, and serve as a trusted technical advisor to engineering and business leadership. Success Metrics Success will be measured by the scalability, reliability, and security of enterprise data platforms, delivery of strategic initiatives, adoption of reusable engineering frameworks, improvements in engineering productivity through AI, platform quality, and technical influence across the organization. 百济神州全球胜任力 当我们通过以下十二项全球胜任力，展现出 "患者为先"、"无界协作"、"锐意创新 "和 "追求卓越 "的价值观时，我们就能帮助全世界更多患者获得更多负担得起的药品。 ●团队协作 ●提供并征求坦诚及可行的反馈 ●自我认知 ●兼容并蓄 ●积极主动 ●开拓精神 ●持续学习 ●拥抱变化 ●结果导向 ●分析性思维/数据分析 ●卓越财务 ●清晰沟通 BeOne Global Competencies When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. ●Fosters Teamwork ●Provides and Solicits Honest and Actionable Feedback ●Self-Awareness ●Acts Inclusively ●Demonstrates Initiative ●Entrepreneurial Mindset ●Continuous Learning ●Embraces Change ●Results-Oriented ●Analytical Thinking/Data Analysis ●Financial Excellence ●Communicates with Clarity 求职者隐私申明： 百济神州致力于尊重和保护您的个人信息权利，并承诺依据合法、正当、必要和诚信的原则处理您的个人信息（包括个人敏感信息 ）。 由于百济神州在全球范围内开展业务，我们可能需要基于人力资源管理等合理业务目的而将您的个人信息发送和/或存储在位于您所在国家以外其他国家（例如：美国）的服务器和数据库中，详情参见百济神州《求职者隐私政策》（百济神州官网 - 隐私政策 - 求职者隐私政策）。 如您主动向我们提供您的简历信息或其他个人信息，则视为您已经充分理解并确认接受百济神州《求职者隐私政策》内容。如您对此有任何疑问的，请勿提交简历信息或其他个人信息。 BeOne is committed to respect and protect your personal information rights, and will process your personal information, including your sensitive personal information, based on the principles of legality, legitimacy, necessity, and integrity. 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