Requirements

Optional technologies

AWS

Azure

GCP

Employer requirements

• Experience in data modeling for both transactional and analytical systems.
• Strong understanding of metadata, data analysis, and requirement gathering.
• Ability to clearly communicate complex data modeling concepts to technical and non-technical audiences.
• Leadership experience, including mentoring and guiding teams.
• Strong stakeholder management and consulting skills.
• Solid knowledge of data governance, data quality, and protection practices.

Optional

• Experience with cloud data platforms (AWS, Azure, GCP).
• Familiarity with Big Data ecosystems (Hadoop, Spark).
• Knowledge of industry models (BIAN, FSDM, BDW) or experience in designing enterprise-wide data models.

Your responsibilities

• Design and develop conceptual, logical, and physical data models to support business operations and analytics.
• Work with stakeholders to gather requirements and translate them into scalable, efficient data models.
• Define and enforce data modeling standards, best practices, and governance policies.
• Mentor and train the data modelling team in tools, techniques, and methodologies.
• Collaborate with data architects, engineers, and analysts to align data models with broader data strategies.
• Contribute to design and architecture discussions to ensure end-to-end data consistency.
• Stay up to date on data technologies, trends, and tools; evaluate and recommend improvements.