Data Architect
6 months ago
**Responsibilities**:
- Lead the development of conceptual, logical, and physical data models.
- Implement business and IT data requirements across relational, dimensional, and NoSQL platforms.
- Define and enforce data modelling and design standards, tools, and best practices.
- Oversee the implementation of RDBMS, operational data store (ODS), data marts, and data lakes.
- Identify architecture, infrastructure, and interfaces to data sources, ensuring security and analytic model support.
- Optimize data query performance through best practices. Identifying areas for improvement in current data systems.
- Collaborate with teams, addressing project requirements and reducing delivery risks.
- Support the development of data tools for reporting, visualization, analytics, and machine learning.
- Designing and managing data infrastructure to extract, organize, and store data for authorized users to access.
- Identifying internal and external data sources within the organization. Ensuring the accuracy, security, and accessibility of the data.
**Requirements**:
- Strong expertise in conceptual, logical, and physical data modelling. In addition to data warehouse and data lake design approaches with hands-on experience of Inmon & Kimball methodologies.
- Understanding of data modelling and design standards, tools, and best practices.
- Analytical mind-set and problem-solving skills for proactive project support.
- Experience with modelling tools like ERWIN.
- Data Architect, Data Modeler, Data Warehouse Specialist
- Data Architecture, Data Modeling, Master Data Management, Data Warehouse, Big Data, Cloudera, ERWIN.
- Perform the development of conceptual, logical, and physical data models.
- Financial/Banking.
LI-CTSAPAC
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