BeOne Medicines
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
10,000+ employees
Founded 2010
Associate Director, Data Platform and Solution Engineering
3 days ago
BeOne Medicines
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
10,000+ employees
Founded 2010
đ Description
⢠Join BeOne's Global Data Strategy and Solutions team to build and scale a cutting-edge and fully integrated Enterprise Data and Analytics Platform ⢠Design and implement robust data architectures using Databricks, ensuring integration with existing systems and scalability for future growth ⢠Establish data management frameworks, optimizing ETL/ELT processes and data models for performance and accuracy. ⢠Evaluate and recommend modern architectural patterns, including Lakehouse, Delta Live Tables, Data Mesh, and real-time streaming. ⢠Drive rapid Proof-of-Concepts (POCs) to validate new architectural approaches, tools, and design patterns before enterprise rollout. ⢠Partner with data engineers, scientists, and business stakeholders to develop seamless data pipelines prioritizing data integrity and usability. ⢠Implement and uphold data governance practices that enhance data accessibility while ensuring compliance with regulations. ⢠Integrate external systems, APIs, and cloud-native services to support new data products and analytics use cases. ⢠Prototype and test new connectors, ingestion frameworks, and integration patterns to accelerate innovation. ⢠Monitor data pipelines and infrastructure performance, troubleshooting issues as they arise and ensuring high availability. ⢠Optimize and enhance existing data systems for performance, reliability, and cost-efficiency. ⢠Collaborate with data analysts and data scientists to understand data requirements and implement solutions that support data-driven insights and models. ⢠Monitor and enhance system performance, employing tools and methodologies to optimize data processing and storage solutions. ⢠Optimize compute costs, job orchestration, workflow efficiency, and data storage strategies. ⢠Troubleshoot and resolve data-related issues to maintain optimal system functionality. ⢠Experiment with new Databricks features through quick hands-on evaluations.
đŻ Requirements
⢠Proven experience (8+ years) in data architecture or in a similar role, with extensive experience in Databricks and cloud-based data solutions. ⢠8+ years of experience in solution engineering, platform architecture, or related working in a cross-functional environment. ⢠Strong proficiency in Apache Spark, Unity Catalog technology, Python, SQL, and data processing frameworks. ⢠Experience with APIs and experience in integrating diverse technology systems. ⢠Familiarity with modern development frameworks, DevOps methodologies, and CI/CD processes. ⢠Experience with data warehousing solutions, delta lakes, and ETL/ELT processes. ⢠Familiarity with cloud environments (AWS, Azure) and their respective data services. ⢠Solid understanding of data governance, security, and compliance best practices. ⢠Excellent communication and interpersonal skills, with an ability to articulate complex technical concepts to diverse audiences. ⢠Databricks certifications or hands-on experience with Delta Lake and its cloud architecture is strongly preferred. ⢠Familiarity with machine learning, AI frameworks, and data visualization tools (e.g., Tableau, Power BI, Spotfire). ⢠A proactive approach to learning and implementing new technologies and frameworks. ⢠Experience working with Life Sciences data, including exposure to R&D, Clinical Operations, TechOps, or Manufacturing domains. ⢠Understanding of key systems (CTMS, EDC, eTMF, LIMS, MES, PV systems), data models (CDISC, SDTM, ADaM), and typical data challenges (quality, lineage, integration, governance) is highly desirable.
đď¸ Benefits
⢠Health insurance ⢠401(k) matching ⢠Flexible work hours ⢠Paid time off ⢠Remote work options
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