Southern Water
Domain Data Modeller
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Domain Data Modeller
Domain Data Modeller (Hybrid – Durrington)
Closing Date: 2026-07-08
Location: Hybrid – Durrington Hours: 37 hours per week Contract: Permanent Salary: Competitive + benefits
About Southern Water
Southern Water is leading a major data transformation to establish a modern, trusted data platform that supports:
- Operational performance
- Regulatory outcomes
- Better decision-making
Data modelling is a core capability in this journey, underpinning analytics, reporting, and data products across the organisation. As part of this effort, Southern Water is seeking a Domain Data Modeller to shape the company’s data architecture and governance frameworks.
The Role
As a Domain Data Modeller, you will be a key member of a domain-aligned agile squad, responsible for:
- Designing and maintaining scalable, business-aligned data models supporting analytics, reporting, and data products.
- Working closely with Product Owners, Data Engineers, BI Engineers, architects, and business stakeholders to ensure models accurately reflect business domains and align with enterprise architecture and governance.
- Playing a critical role in ensuring metadata, lineage, and catalogue information is accurate and trusted across the platform.
This position is ideal for someone who enjoys working at the intersection of business and technology, shaping how data is structured, governed, and consumed.
Responsibilities
Core Work
- Design, implement, and maintain conceptual, logical, and physical data models aligned with business domains.
- Ensure metadata and lineage is accurately captured and maintained within the enterprise data catalogue.
- Translate business requirements into clear, well-structured data models in collaboration with Product Owners and delivery teams.
- Contribute to solution architecture discussions, ensuring models support scalability and long-term strategy.
- Validate models with Data Engineers against ingestion pipelines and sample data.
- Provide high-quality model documentation to support downstream development and analytics.
- Maintain data modelling standards and best practices across squads.
- Apply change management principles to ensure consistency and traceability of model changes.
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Collaboration & Governance
- Support governance and metadata management using recognised data modelling tools.
- Capture and maintain domain knowledge and model documentation.
- Engage with architects, subject matter experts (SMEs), governance, and compliance teams as needed.
Agile Delivery
- Manage and contribute to modelling work within agile backlogs.
- Participate in agile ceremonies, backlog refinement, and sprint planning.
Requirements
Must-Have Experience
- Proven experience in domain or enterprise data modelling on large-scale data platforms.
- Strong understanding of:
- Data architecture
- Metadata management
- Data governance
- Experience using data modelling tools such as Erwin or equivalent.
- Experience working with cloud-based data platforms (e.g., Azure Data Lake, Databricks).
- Familiarity with data cataloguing and lineage tools.
- Strong SQL skills and experience with relational and dimensional modelling.
- Ability to translate complex business concepts into clear data structures.
- Experience in agile delivery environments, including use of Jira and Confluence.
- Excellent problem-solving, communication, and stakeholder engagement skills.
- Ability to manage multiple modelling activities across different business domains.
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Desirable Technical Knowledge
- Enterprise and business architecture principles.
- Data governance frameworks such as DAMA.
- Data privacy, classification, and handling principles.
- Change management practices for data models in distributed environments.
- Understanding of data models’ role in BI and analytics.
Qualifications
-
Essential:
- Hands-on experience in data modelling projects.
- Collaboration experience with data engineers, analysts, and business stakeholders.
-
Desirable:
- Degree in Computer Science, Information Systems, Data Science, or a related discipline.
- Certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering.
Why Join Us?
Visit Southern Water’s cutting-edge enterprise data architecture. Work on meaningful, business-critical data products while collaborating with multidisciplinary teams across technology and business.
Benefits
- Hybrid and flexible working.
- Competitive salary, pension, bonus.
- Comprehensive benefits package.
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