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Salary: 660000-840000CNY

Company Overview

Leading US Consultinig Company

Job Description

1.Act as a Data Architect at the high-level scope to develop technology standard and governance, process specification and systems integration requirements
2.Work with product manager to define and develop product roadmap, technology components and SDLC processes and documentation requirement
3.Analyze and translate the client’s business requirements into architectural designs and technology solutions and support requirements assessment, solution and process planning, Agile implementation, enterprise blueprint/architecture, prototyping, and impact analysis
4.Manage big data platform product development by working with domain lead and product manager
5. Support technology architecture selection, cost estimation and new technology research

Qualifications
• University Degree in Computer Science, Statistics or big data related disciplines
• Minimum 10 years’ experience of Data management, BI, data warehouse or big data Analytics project experience with at least 5 years’ hands-on project solution experience in big data architecture
• Expert in data architecture and design, data strategy, data governance, data modelling, data quality, data warehouse, business intelligence/analytics, master data management, etc
Familiar with main stream big data architecture like AWS (EC2, RDS, IAM, Lambda, SNS, SQS, S3), Ali (DataPhin, DataWorks, DataPipe, Maxcompute), Azure or internet company like Meituan, Didi etc.
• Experience with big data tools such as Hadoop, Spark, Python, MongoDB, NoSQL based decision systems.
• Hands-on experience in Hadoop Ecosystem including Spark, Stream sets, Map-Reduce, Kafka as well as experience working with NoSQL Platforms.
• Knowledge of machine learning and deep learning, Wechat, Voice Recognition, Image Recognition
• Ability to translate business needs into solution architecture requirements
• Ability to define multiple solution options to business problems
• Understand design tradeoffs like performance vs. size and have excellent data modelling skills
• Possess passion and ability to learn new technologies
• Fluent in write and speak English