Enterprise Data Architect

Enterprise Data Architect

PCCW Solutions Singapore Pte. Ltd
10-13 years
Not Specified

Job Description

Job Description :
The Job:
The successful candidate will take the lead to support a data-rich enterprise undergoing digital transformation towards data-driven business model to provide personalized customer experience, drive product/services innovation and process optimization, get business insights and unleash data monetization potential.
To strengthen big-data-to-insight foundation and to build Data-as-a-Service architecture with latest data management technologies, the Enterprise Data Architect will drive enterprise wide data governance, model/build enterprise data assets and data integration to enable analytics by data analyst and scientist teams, and digital marketing initiatives.
Enterprise Data Architect will lead and expand a team of data engineers on data discovery, data acquisition/integration/enrichment from a wide-spectrum of data sources, data modeling for datalake, data warehouse & data marts and data visualization, data governance as well as new technology adoption.
He / She will be responsible to lead the data warehouse and analytics team to cover the scope of duties:
  • To lead, develop and scale the data engineer team to meet fast growing business needs plan team resources and prioritize with business stakeholders in a time-sensitive environment with competing deadlines.
  • Engage in a Digital Transformation Project for the largest telecommunications company in Hong Kong to build data-as-a-service architecture.
  • Improve and strengthen data governance especially on data privacy protection and security measures.
  • Working closely with data analysts and data scientists of business units on business and data needs.
  • Working 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.
  • Working closely with downstream system owners on data integration
  • Working with business units on data visualization: KPI/metric reporting, business intelligence for enterprise performance analysis
  • Working closely with technical architecture team to identify, evaluate and adoption of new data management technologies (RDBMS, Hadoop, NoSQL, data integration, visualization) to keep up evolving business needs.
The Person:
  • 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 leader role developing high-performing data engineer team and managing budget & resources.
  • 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 on data management technologies:
    • RDBMS, NoSQL, Hadoop eco-system
    • Data integration coding and tools (Informatica, InfoSphere, Talend, etc)
  • Data Visualization tools (e.g. QlikSense, Tableau, PowerBI, Jasper, Pentaho, etc.)
  • Solid experience in marketing campaign system and digital marketing techniques.

Interested candidates are encouraged submit their CV/ resume along with the current and expected salaries to this link: or email to .

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