Senior Data Architect

CBTS; United States; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

CBTS is seeking an experienced Data Architect to lead enterprise data modelling and design for a large-scale financial services transformation. You will architect data structures across relational and NoSQL platforms, collaborating with stakeholders to define scalable data models and governance standards.

The role requires strong technical knowledge, excellent communication, and experience in capital markets or banking environments, with a focus on delivering modern, governed data solutions.

Qualifications

• Extensive data architecture and enterprise data modelling experience.
• Strong experience with relational designs (Oracle) and NoSQL distributed databases (YugabyteDB).
• Experience in capital markets, investment banking or trading platforms.
• Ability to document architecture and communicate with technical and non-technical stakeholders.
• Experience with data governance and data standards.

Responsibilities

• Understand, analyze, and document existing and target-state data architectures for large financial systems.
• Collaborate with stakeholders to define enterprise data models and integration patterns.
• Develop and maintain logical, logical, and physical data models.
• Design scalable and high-performance database solutions (Oracle/PostgreSQL, on prem or cloud).
• Define data standards, governance principles, and metadata documentation.
• Produce architecture documentation and artifacts for technical and non-technical audiences.

Skills

Data architecture

Enterprise data modelling

Relational data modelling

NoSQL data modelling

Database design

Data normalization/denormalization

Data partitioning/replication

High availability patterns

Data governance

Stakeholder communication

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering

Tools

Oracle

YugabyteDB

Hackolade

Job description

Role Title

Data Architect - Financial Markets / Enterprise Data Architecture

Location

Flexible / Hybrid (depending on project requirements)

Skills: DB Architecture, design, relational & non-relational database’s, Cassandra, PostgreSQL, modelling skills, account receivable experience mandatory (experience in delivering architecture in an accounts receivable area)

Role Overview

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
  • Physical data models
• Design scalable and high-performance database solutions across:
  • Relational databases (Oracle/PostgreSQL)
  • 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
  • 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

• The ideal candidate is:
  • 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