Data Modelling

Requirement ID:

9397325

Posted On:

Mar112024

Role name:

Developer

Role Description:

Experience: 12 years of experience with 6 years of relevant experience.Below is the list of responsibilities for this role.Data Modelling: Developing and maintaining conceptual logical and physical data models that represent the organizations data assets and their relationships. This involves understanding business requirements and translating them into data structures that support those needs.Data Governance: Establishing data governance policies standards and procedures to ensure data quality integrity security and compliance with regulatory requirements. This includes defining data ownership access controls and data lifecycle management processes.Database Design and Management: Designing and implementing database systems to efficiently store retrieve and manipulate data. This may involve selecting appropriate database technologies optimizing data structures and queries for performance and ensuring scalability and availability.Data Integration: Developing strategies and mechanisms for integrating data from disparate sources across the organization including databases applications and external data feeds. This often involves designing data pipelines ETL (Extract Transform Load) processes and data synchronization mechanisms.Data Architecture Planning: Collaborating with stakeholders to develop a longterm data architecture strategy aligned with the organizations goals and objectives. This may involve assessing current data infrastructure identifying areas for improvement and planning for future data needs.Metadata Management: Establishing and maintaining metadata repositories that document the structure semantics and lineage of data assets within the organization. This helps users understand the meaning and context of data facilitates data discovery and reuse and supports data governance efforts.Data Security and Privacy: Implementing security measures to protect sensitive data from unauthorized access theft or loss. This includes encrypting data at rest and in transit implementing access controls and auditing mechanisms and ensuring compliance with data privacy regulations such as GDPR or HIPAA.Collaboration and Communication: Working closely with business stakeholders data analysts data scientists and IT teams to understand their requirements priorities and constraints. Effective communication and collaboration are essential for ensuring that the data architecture meets the needs of the organization and its users.Overall the role of a data architect is crucial for ensuring that an organizations data assets are effectively managed integrated secured and leveraged to drive business value and competitive advantage.