Description

You will design, maintain, and validate the logical and physical data structures that support enterprise business processes and engineering activities.

This role is hybrid.

Responsibilities

• Lead the development, validation, publishing, and maintenance of logical and physical data models.
• Develop new and modify existing data models to support data engineering workflows.
• Analyze data from multiple source datasets to ensure structural integrity.
• Conduct business process analysis and requirements gathering to define formal data structures.
• Communicate data requirements and technical constraints to both business and technical stakeholders.

Required Skills

• 5+ years of experience in enterprise-level data modeling.
• Deep expertise in Inmon, Kimball, and Data Vault methodologies.
• Proficiency with data modeling tools such as Erwin.
• Experience researching and evaluating IT system capabilities regarding data handling and analysis.
• Ability to analyze user methods and experience within various IT systems.
• Bachelor's degree or equivalent graduate qualification.

Preferred Skills

• Exposure to Azure environments.

Key Skills

Education

Any Graduate