Data Architecture and Modeling
Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Workplace: on_site
Employment Type: full
Description
We are looking for Data Architecture and Modeler with 10+ years of experience.
Required Technical Skillset : TM forum data models, schemes, and databases to support efficient data storage, Database expertise, Cloud computing, Programming language SQL, Python.
Must-Have:
- Designing and implementing TM forum data models, schemes, and databases to support efficient data storage, retrieval, and analysis
- Collaborating with stakeholders to understand business requirements and translating these requirements into technical specifications and data architecture designs
- Define overall data architecture, data ingestion framework best practices etc.
- Selecting and managing the best cloud services to support end-to-end Data platform implementation for the organization’s specific needs
- Develop and maintain conceptual, logical, and physical data models leveraging GCP services such as BigQuery, Cloud SQL etc.
- Work on end-to-end data initiatives, from gathering requirements to cutover.
- Translate business requirements from stakeholders into effective data model designs.
- Play a key role in migrating data from legacy on-premises systems to cloud-native GCP solutions.
Good-to-Have:
- Data Management Knowledge, MySQL, Oracle, Data model tool (Erwin), Big Data Technologies, ETL knowledge.
Responsibilities of the role:
- Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity
- Offering guidance to development teams, data analysts, and other stakeholders on best practices, data standards, and governance to maximize data products effectiveness
- Defining and enforcing usage standards, cost control policies, and overall governance models for GCP environments
- Optimize data models for performance-oriented OLAP (Online Analytical Processing) and OLTP (Online Transactional Processing) systems.
- Ensure data consistency, quality, and reliability by defining constraints, validation rules, and data governance policies within data models.
- Collaborate with data engineers, data scientists, and business teams to understand data needs and deliver structured data for analytics and machine learning.
- Create and maintain comprehensive data model documentation, including entity-relationship diagrams, data dictionaries, and metadata definitions.
- Leverage understanding of telecom-specific data, such as subscriber data, billing information, network performance metrics, and customer insights.
- Proficiency in data modeling techniques (dimensional, relational) and tools such as Erwin, PowerDesigner, or open-source alternatives.
- Expert-level SQL skills for querying and analyzing large datasets in BigQuery.
- Strong hands-on experience with core GCP services
- Understanding of telecom data sources and industry-specific metrics.
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