Data Architect

7 days 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 self-service and end-to-end 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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