Data Modeler
Nottingham (Hybrid – 3 days onsite)
Start: July 2026
Employment Type: Permanent / Fixed Term
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.
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 modeling 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
Hurry & apply for a more detailed conversation!
#UST
data modeling,reference data management,master data management,enterprise data modeling,
