About the Role:
Location – Burgess Hill, UK
Mode of Work – Hybrid (3 Days Onsite Per Week)
Type of Hiring – Permanent / Fixed Term Employment (FTE – 12+ Months)
Required Skills Experience:
Technical Skills-
- Strong experience in data architecture and enterprise data modelling
- Deep expertise in relational database design and modelling
- Oracle
- Strong hands‑on experience with NoSQL distributed databases
- YugabyteDB
- Solid understanding of
- Data normalization and denormalization
- Data partitioning and replication strategies
- High availability and scalability patterns
- Experience creating
- Conceptual models
- Logical models
- Physical models
- Hands‑on experience with data modelling tools such as
- Hackolade preferred
Strong knowledge of enterprise integration and data governance principles
- Familiarity with cloud and hybrid data architectures is advantageous
- Functional Domain Experience
- Experience working within
- Capital markets
- Investment banking
- Trading platforms
- Risk or regulatory environments
Strong understanding of financial data domains and transactional systems preferred
Communication Soft Skills:
- Excellent English communication skills written and verbal
- Strong presentation and stakeholder engagement capabilities
- Ability to communicate complex technical concepts clearly to both business and technical audiences
- Strong analytical and documentation skills
- Ability to work independently in a fast‑paced enterprise environment
- Collaborative mindset with strong problem‑solving capabilities
Key Responsibilities:
- Understand analyze and document existing and target state data architectures for large financial systems
- Collaborate with business stakeholders’ architects’ application teams and engineering leads to define enterprise data models and integration patterns
- Develop and maintain
- Logical data models
- Physical data models
- Design scalable and high-performance database solutions across
- Relational databases Oracle PostgreSQL
- Solutions on prem or on the Cloudaces
- Define data standards modelling conventions governance principles and metadata documentation
- Support enterprise-wide data strategy initiatives and contribute to architecture governance reviews
- Produce architecture documentation presentations and technical artifacts for both technical and nontechnical audiences
- Assess current state systems and recommend modernization or optimization opportunities
- Work closely with development and infrastructure teams to ensure implementation aligns with architectural guidelines
- Participate in data migration integration and transformation planning activities
- Support performance scalability resiliency and disaster recovery considerations within data architecture designs
Preferred Qualifications:
- Bachelor’s or master’s degree in computer science information systems engineering or related discipline
- Experience working on large enterprise transformation programs
- Exposure to data governance and enterprise architecture frameworks
- Financial industry certifications or architecture certifications are a plus