The point where experts and best companies meet
Apple Data Architect China, Beijing, Beijing 372613033
01.06.2024
Share
Description
• Design and maintenance of information architecture. Responsible for the planning and construction of enterprise platform’s data, data products, and provide decision-making basis for strategic and business decisions.• Define roadmap and transition solutions of data centric application and infrastructures.• Develop and enforce data related standards.• Champion of data governance, continuously improve data quality and data security per business requirements.• Coordinate with the business team and vendors to plan data application architecture design, data field model construction, and drive the implementation of all the above.• Responsible for big data application planning, providing guidance to the business team and vendors. • Responsible for the research and implementation of cutting-edge technologies in the fields of data platform and large-scale distributed systems.
Key Qualifications
- Computer science and related major, have 8+ years of data management related experience, 5+ years of data/application architecture design experience.
- Have a deep understanding and practical experience in data acquisition, data development, data analysis, data modeling, algorithms, etc., and have the ability of large-scale system fault diagnosis and performance optimization.
- Have deep thinking and long-term product and technology vision in data architecture, data related application products and technology, and have clear and mature ideas for the evolution of technology architecture.
- Familiar with Big Data Tec stacks, such as Hadoop, Spark, Flink, Kafka, HDFS, Hive, Druid and/or other mainstream big data systems, have experience to design and implement at least one modern big data infrastructure as a Chief Engineer or similar role.
- Proficient in RDBMS database systems, such as MySQL, PostgreSQL, Oracle (1/3) and others. Very skillful SQL user.
- Proficient in Java or Python or Scalar, familiar with microservice frameworks, and have accumulated and practical experience in container/micro service, middleware, open source big data and other technologies
- Familiar with common Internet, big data, cloud computing, artificial intelligence and other technologies and knowledge, with Internet data center, technology center construction and other technical background is preferred
- Have good business analysis ability, business and technical program planning and design ability, and strong logical thinking ability
- Knowledge of AI & ML, ability of architecting platform for AI engineering is a plus.
Education & Experience
BA/BS Degree in Computer Science, Software Engineering or equivalent.
These jobs might be a good fit
