Data Architect (eMPF) - IC Information Technology HK$ 50000 - 70000 2022-05-27

Responsibilities: Lead and work with IT team on data discovery, data acquisition/integration/enrichment from a wide spectrum of data sources. Data modeling for datalake, data warehouse & data marts. Data visualization, data governance as well as new technology adoption. Plan resources and prioritize with business stakeholders in a time-sensitive environment with competing deadlines to meet fast-growing business needs. Improve and strengthen data governance, especially on data privacy protection and security measures. Work closely with source system owners on data discovery, data glossary, data acquisition, ingestion, and enrichment. Build enterprise data models for enterprise datalake, data warehouse, and data marts. Work closely with downstream system owners on data integration. Collaborate with business units on data visualization: KPI/metric reporting, business intelligence for enterprise performance analysis. Work with technical architecture team to identify, evaluate, and adopt new data management technologies (RDBMS, Hadoop, NoSQL, data integration, visualization) to keep up with evolving business needs. Job Requirements: University graduate in Information Technology, Computer Science, Data Science, or related disciplines. 10+ years of experience in data warehouse & analytics domain, with 5+ years in a leadership role in Big Data projects. Strong business acumen and fast learner of new business. Strong problem-solving skills, excellent communication, and presentation skills. Solid technical experience in datalake, data warehouse, and data mart design, batch/real-time data integration (ETL/ELT), data visualization, and data analytics. Deep understanding of data security and compliance. Solid knowledge of data management technologies, RDBMS, NoSQL, Hadoop ecosystem. Experience with data integration coding and tools (Informatica, InfoSphere, Talend, etc.). Experience with data visualization tools (e.g., QlikSense, Tableau, PowerBI, Jasper, Pentaho, etc.). Solid experience in marketing campaign systems and digital marketing techniques. Additional Requirements: Minimum 5 years of working experience in Data Management. Solid experience in Data Management or Data Engineering. Passionate about data management, data analysis, and business intelligence. Strong team player with a can-do attitude. 3 to 5 years of solid experience in ETL development and orchestration for building large-scale analytical data pipelines. 3 to 5 years of development experience using Power BI Desktop as well as row-level security/workspace management using Power BI service. Solid experience in database solution development by MS SQL and Oracle, including stored procedures. Development experience in Data Warehouse or Business Intelligence tools. Experience in Database and Windows Server Clustering and Performance Tuning is a plus. Good command in Cantonese and English.

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