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Design and implementation of scalable and efficient data models.

Requirements

• Data modeler
• Cloud Azure
• Data Vault
• Databricks
• Power Designer/ERWin/ER/Studio
• Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.

Responsibilities

• Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures.
• Create and maintain conceptual, logical, and physical data models to support business requirements.
• 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.
• 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.
• Document data models, data flows, and integration processes clearly and comprehensively.

Other

• FTE
• Hybrid/Onsite (4 days/week)
• Banking domain
• Collaborate with stakeholders to understand data requirements and translate them into effective data models.
• Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment.