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.
Qualifications
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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