Participate in the overall architecture design and implementation of the data application platforms of the TnS, formulating data application architecture specifications and leading the team to implement them; Participate in optimizing the data application architecture, continuously improving the stability and efficiency of the system, and continuously reducing the complexity and cost of storage, calculation, and service architecture; Design and implement systematic support for data integration, offline development, real-time development, data governance, and BI analysis; Establish good technical influence inside and outside the department, cultivate talents, effectively coach the team, and improve R&D capabilities; Minimum Qualifications: Individuals who are completing or have recently completed a Bachelor s/ Master s degree in computer science or a related discipline. Experience with software development in at least one of the following programming languages: C++, Python, Java; Be proficient in the technology stack of the server(rpc, message queue, link tracking and service governance, etc.) in distributed / high concurrency scenarios; Experience with big data systems and related technologies (Spark, Flink, ClickHouse, HBase etc.); Great communication and teamwork skills; Experience with data insight and related technologies (machine learning, statistical analysis etc.) is preferred.