WHAT YOU'LL NEED TO HAVE • Prefer to have over 10 years experienced on big data architecture and its underlying components: MapReduce, Hive, HBase, etc. Proven successful project cases that successfully implemented and stably run a big data platform. • Very proficient on SQL, hands-on expertise on diagnosing and fixing the performance and data accuracy on queries. • Be able to review and provide guidance on engineers’ deliverables. • Experienced on Python to process data tasks such as data synchronization, data cleansing. • Be familiar with Ali Cloud and its major data-related components will be a big plus. • Be familiar with retail domain, can think and design the architecture from business view, smooth communication with business users from marketing and loyalty. • Oral and written English should be OK when communicating with global team. YOUR RESPONSIBILITIES • Responsible for the translation of the conceptual information model into robust data architecture, including logical and physical models, leading to implementation • Act as the main point of contact to resolve incidents, requests and perform root cause analysis for data architecture issues • Regularly review the effectiveness of existing architectures and come up with improvements • Work closely across initiatives to be involved in all required design specifications and ensure that data flows and integrations fulfil business needs • Review and re-engineer and approve physical data models of acquired data to ensure data adheres to Ingka Centres common data model • Engage and align with platform/product owners to ensure the integrity of the data integration landscape • Work across initiatives within Ingka Centres and Ingka Group, steering products/platforms towards the correct architecture; participate in architecture review boards or groups • Analyse master data management strategies and models to diminish architectural risks and propose alternatives to improve the overall integrity of the data architecture • Implementation of information security and data privacy measures to ensure protection of business data according to rules and policies set out by business
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