Data Architect

2 weeks ago

Malaysia IntersoftKK Full time
Malaysia

Experience:
Database Architect

Skills:
Database Architect

Job Responsibilities:

  • Establishes the rules for describing and completing a data valuation process for data objects.
  • Creates ecosystem models (e.g. logical, canonical) that are required for supporting services
within the enterprise data architecture.

  • Prepares data models; designs information structure & data flow; designs & validates ETL maps.
  • Ensures regulatory issues are considered surrounding information assets
  • Recognizes and resolves conflicts between models, ensuring that data models are consistent
with the ecosystem model (e.g., entity names, relationships and definitions).

  • Ensures integration of the project logical data model into the ecosystem conceptual data model.
  • Ensures that physical models align with the logical data model.
  • Creates a framework for representing the data elements including entities, relationships,
attributes.

  • Guides the implementation of a selfservice and endtoend BI solution to enable business
insights.

  • Design of Data models in the Transactional Systems aligned to Information Architect advisory.
  • Defines database technology (e

g:
MS SQL, Oracle DB, Data Lake...) most suitable to host the

data in each initiative

  • Defines Data Test Strategy in projects;
  • Partners with Data & Analytics group to advise about Data Models.

Job Requirements:

  • Recognized as an expert in Data Warehouse, Business Intelligence area. Biotech / Pharma experience and TOGAF certification is a plus.
  • Exhibits strong soft skills typically required as an Architect (i.e. presentation and public speaking, negotiation, challenging the status quo).
  • Exhibits an Agile mindset, i.e. good enough instead of perfection and focus on "Reuse before Buy before Make" when providing direction on future solutions.
  • Good team player in a global environment.
  • Has practical experience in Business Intelligence data architecture to suggest when using
tabular structures, star schemes, views and extracts.

  • Has practical experience and knowledge of Big Data platforms to suggest the best technology
for storing and making data available: Oracle database, Hadoop (Cloudera, Hive, Impala).

  • Has Practical experience and solid knowledge on ETL tools:
Alteryx and Informatica PowerCenter

  • Has practical experience and solid knowledge on Business Intelligence & Data Visualization

tools:
Tableau.

  • Has practical experience in unstructured data management.
  • Experience on AWS and Azure data lake & analytics platforms is a strong plus.
  • Experience in patient data management and HCP/HCO data management is a strong plus.
  • Experienced with different data modelling techniques (Relational, Dimensional, Data Vault, etc.)
  • Demonstrates good understanding of data privacy & security regulations, for example GDPR

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