At a Glance
- Tasks: Design and architect data solutions for large-scale financial systems using RDBMS and NoSQL.
- Company: Join a leading financial services firm transforming enterprise data architecture.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make a significant impact on financial data architecture in a dynamic environment.
- Qualifications: Experience in data architecture, relational databases, and financial markets required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Data Architect to join a large-scale financial services transformation project. The successful candidate will play a critical role in understanding, documenting, and architecting enterprise data structures across both traditional relational database platforms and modern distributed NoSQL environments. This role requires strong expertise in RDBMS and NoSQL data architecture, enterprise/domain modelling, and the ability to work closely with business and technology stakeholders to define scalable, resilient, and well-governed data solutions for complex financial systems. The ideal candidate combines deep technical knowledge with excellent communication and presentation skills and has prior experience working within financial markets, banking, or capital markets environments.
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.
- Develop and maintain physical data models.
- Design scalable and high-performance database solutions across relational databases (Oracle/PostgreSQL) and solutions on prem or on the Cloud.
- 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 non-technical 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.
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, and 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.
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.
Preferred Candidate Profile
- Comfortable working across both legacy and modern database ecosystems.
- Experienced in large-scale financial environments.
- Strong in stakeholder communication and architecture documentation.
- Able to bridge business requirements with scalable technical data solutions.
Engagement Type Contract / Full-Time (depending on project needs)
Seniority Level Financial Services / Capital Markets / Banking
Senior Data Architect employer: CBTS
Join a leading financial services firm that values innovation and collaboration, offering a flexible hybrid work environment tailored to your project needs. As a Senior Data Architect, you'll be at the forefront of transformative projects, with ample opportunities for professional growth and development in a dynamic and supportive culture. Enjoy competitive benefits and the chance to make a significant impact within the capital markets sector, all while working alongside industry experts in a stimulating and rewarding atmosphere.
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We think you need these skills to ace Senior Data Architect
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
