We are seeking an experienced Data Modeler to play a key role in shaping enterprise data architecture and enabling large‑scale data transformation initiatives. In this role, you will lead the design and optimisation of data models that support modern data platforms, analytics, and cloud‑based environments. You will collaborate with cross‑functional teams to ensure consistent, scalable, and high‑performance data solutions aligned with enterprise standards.
Role Details
Location: Nottingham (Hybrid – 3 days onsite)
Start: July 2026
Employment Type: Permanent / Fixed Term
Key Responsibilities
- Lead the design and development of conceptual, logical, and physical data models for enterprise data platforms and analytics solutions
- Develop and implement dimensional models including Star Schema, Snowflake, Data Vault, and Canonical Data Models
- Design scalable data models across relational, cloud, and big data environments
- Collaborate with enterprise architects, business stakeholders, and engineering teams to define data standards, governance, and modeling strategies
- Ensure alignment with data governance, metadata management, and data quality frameworks
- Review and optimise existing data models for performance, scalability, and regulatory compliance
- Drive best practices across normalisation, denormalisation, and data architecture standards
- Lead data model reviews, design governance, and mentoring of junior team members
- Establish enterprise‑wide conventions, standards, and reusable data modelling frameworks
What We’re Looking For
- Extensive experience in enterprise data modeling and data architecture within large‑scale environments
- Strong expertise in dimensional modeling techniques and modern data design patterns
- Hands‑on experience with data modeling tools such as ER/Studio, Erwin Data Modeler, or PowerDesigner
- Proven experience working with cloud data platforms including Microsoft Azure, Snowflake, and modern data warehouse solutions
- Deep understanding of data governance, master data management (MDM), and metadata frameworks
- Experience in data lineage, reference data management, and data quality practices
- Strong capability in performance optimisation and scalable data architecture design
- Excellent stakeholder engagement, leadership, and communication skills
- Experience supporting enterprise data modernisation and cloud migration programmes
Key Skills
- Enterprise Data Modeling
- Data Architecture & Design
- Master Data Management (MDM)
- Reference Data Management
- Data Governance & Data Quality
- ER/Studio, Erwin, PowerDesigner
- Microsoft Azure, Snowflake, SQL Server
