Data Architect

4 months ago

hong kong, Hong Kong SAR China Classy Wheeler Limited Full time

Responsibilities:

  • Lead and work with the IT team on data discovery, data acquisition/integration/enrichment from a wide spectrum of data sources.
  • Data modeling for data lake, data warehouse & data marts.
  • Data visualization, data governance as well as new technology adoption.
  • Work with the IT team to meet fast-growing business needs; plan resources and prioritize with business stakeholders in a time-sensitive environment with competing deadlines.
  • 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 data lake, data warehouse, and data marts.
  • Collaborate with downstream system owners on data integration.
  • Work with business units on data visualization: KPI/metric reporting, business intelligence for enterprise performance analysis.
  • Collaborate with the 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 data lake, 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 including RDBMS, NoSQL, and Hadoop ecosystem.
  • Experience with data integration coding and tools (Informatica, InfoSphere, Talend, etc.).
  • Familiarity 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 using 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 of Cantonese and English.
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