Data Architect

**Role Title: Data Architect**

**Role Description**: We are seeking an experienced and hands-on Data Architect to help shape the future of our data landscape - across both our software products and internal enterprise systems.

This role combines strategic architecture with practical data design and implementation - defining a modern data model, guiding best practices in data management, and enabling our teams to maximise the value and reusability of our data.

You will play a key role in helping us understand our current data structures, define a cohesive and future-ready data architecture, and introduce standards that support scalability, compliance, and innovation across our multi-tenant product suite.

**Key responsibilities**

- **Data architecture and modelling**
- Analyse and document the current data model across products and platforms
- Define a modern, future-ready data architecture that supports scalability, interoperability, and reuse across customer environments (including multi-tenant data models)
- Develop and maintain canonical and conceptual data models, supporting common understanding across teams
- Work with product teams to ensure data models support both functional needs and data governance principles

- **Data management and best practice**
- Establish and champion data management best practices, covering data quality, naming conventions, lineage, and lifecycle management
- Promote standards for metadata management, master data management (MDM), and reference data
- Define and advocate for data governance frameworks aligned to business priorities and regulatory requirements
- Help teams implement best practices through hands-on demonstration, prototype data models, and reusable design patterns

- **Collaboration and enablement**
- Work closely with architects, product managers, and engineering leads to embed sound data design principles into products and services
- Partner with business stakeholders and analysts to align data definitions, semantics, and business rules
- Mentor and upskill developers and analysts in data architecture, modelling tools, and practices
- Support architecture governance through participation in the Architecture Review Board and related forums

**About You**

- **Essential skills and experience**
- Proven experience as a Data Architect, Senior Data Modeller, or Data Engineering Lead in a complex software or SaaS environment.
- Deep understanding of conceptual, logical, and physical data modelling
- Hands-on experience with relational and NoSQL databases technologies (e.g. SQL Server, PostgreSQL, MongoDB)
- Strong grasp of multi-tenant data architectures, data isolation, and schema design for configurable solutions
- Experience designing and maintaining enterprise or product-level data models
- Working knowledge of data integration patterns, APIs, and ETL/ELT processes
- Familiarity with data governance frameworks (e.g. DAMA-DMBOK) and metadata management concepts
- Strong communication and collaboration skills - able to bridge the gap between technical teams and business stakeholders

- **Desirable Skills**
- Exposure to data lakes, data mesh, or domain-driven design for data
- Experience in the pharmaceutical, scientific, or regulated industries
- Knowledge of data visualisation and analytics platforms (e.g. Power BI, Tableau)
- Experience working in cloud-based environments (Azure, AWS, or GCP)
- Understanding of data security, privacy, and compliance considerations (GDPR, ISO standards)

- **Personal Attributes**
- Strategic thinker with a practical, delivery-oriented mindset
- Confident working both at the whiteboard and in the database
- Passionate about data quality, reusability, and consistency
- Naturally curious - able to explore complex systems and identify opportunities for improvement
- Strong communicator, able to influence without authority and build cross-functional alignment