Data Architect

DELTACLASS TECHNOLOGY SOLUTIONS LIMITED; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

DELTACLASS Technology Solutions Limited in London seeks a senior enterprise data architect to design scalable OLTP data models and governance for complex financial systems.

You will collaborate with business and technology stakeholders to define architectural patterns and enterprise data models, and produce documentation for technical and non-technical audiences. Knowledge of Oracle, PostgreSQL, Cassandra, YugabyteDB and Google Cloud Spanner is advantageous.

Job description

The role requires strong expertise in designing data models for OLTP systems, along with a solid understanding of database architectural patterns and enterprise/domain data modeling. Candidates should be able to work closely with business and technology stakeholders to define scalable, resilient, and well-governed data solutions for complex financial systems.

The role requires strong expertise in designing data models for OLTP systems, along with a solid understanding of database architectural patterns and enterprise/domain data modeling. Candidates should be able to work closely with business and technology stakeholders to define scalable, resilient, and well-governed data solutions for complex financial systems.

Key skills and experience should include:

• Relational databases such as Oracle and PostgreSQL
• Distributed NoSQL platforms such as Cassandra and YugabyteDB
• Strong experience with enterprise and domain data modeling, particularly for OLTP systems.
• Understanding of distributed database architectures and associated design patterns.
• Supporting enterprise-wide data strategy initiatives and contributing to architecture governance reviews.
• Producing architecture documentation, presentations, and technical artifacts for both technical and non-technical audiences.
• Collaborating with business stakeholders, architects, application teams, and engineering leads to define enterprise data models and integration patterns.
• Familiarity with wide-column database technologies such as Cassandra and distributed databases such as YugabyteDB or Google Cloud Spanner would be an advantage.

The role requires strong expertise in designing data models for OLTP systems, along with a solid understanding of database architectural patterns and enterprise/domain data modeling. Candidates should be able to work closely with business and technology stakeholders to define scalable, resilient, and well-governed data solutions for complex financial systems.

Key skills and experience should include:

• Designing scalable, high-performance database solutions across:
• Relational databases such as Oracle and PostgreSQL
• Distributed NoSQL platforms such as Cassandra and YugabyteDB
• Strong experience with enterprise and domain data modeling, particularly for OLTP systems.
• Understanding of distributed database architectures and associated design patterns.
• Supporting enterprise-wide data strategy initiatives and contributing to architecture governance reviews.
• Producing architecture documentation, presentations, and technical artifacts for both technical and non-technical audiences.
• Collaborating with business stakeholders, architects, application teams, and engineering leads to define enterprise data models and integration patterns.
• Familiarity with wide-column database technologies such as Cassandra and distributed databases such as YugabyteDB or Google Cloud Spanner would be an advantage.

Functional / Domain Experience

• Experience working within:
• Financial services
• 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.

PreferredQualifications

• 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.