Big Data Principal

Responsibilities

• Data Modeling: Design and develop data models to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation: Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Cloud Azure: Good to have(Secondary) Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Collaboration and Communication: Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment. Document data models, data flows, and integration processes clearly and comprehensively. Data Modelling tools Azure: Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio)