Description

You will design and implement scalable, efficient data models using Data Vault methodologies on Azure services.

This role is on-site.

Responsibilities

• Design and develop conceptual, logical, and physical data models to support business requirements.
• Build enterprise data lakes and lake houses using Data Vault techniques to integrate diverse data sources.
• Deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
• Collaborate with data engineers, data scientists, and business analysts to align data architecture with data needs.
• Document data models, data flows, and integration processes clearly.

Required Skills

• 10+ years of proven experience in data modeling with a strong focus on Data Vault principles.
• Proficiency in Cloud Azure services, specifically Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.
• Strong understanding of data warehousing concepts, Data Lake house architecture, ETL processes, and data integration.
• Experience using data analysis and modeling tools such as Power Designer, ERWin, or ER/Studio.
• Knowledge of Databricks and its ecosystem.
• Expertise in Data Modeling and Data Analysis.
• Excellent analytical and problem-solving skills with attention to detail.

Key Skills

Education

Any Graduate