Data Modeller/Architect

Role Title: Data Modeller / Architect
Location: London
Contract Duration: Until 31 December 2025
Working Arrangement: 2-3 days on site (Hybrid)
Day Rate: £446 (Inside IR35)

We are seeking an experienced Data Modeller / Architect to play a pivotal role in shaping and delivering enterprise data solutions within a leading financial services environment. The successful candidate will design, implement, and optimise data architectures that underpin business intelligence, regulatory reporting, and capital markets operations.

You will work closely with cross-functional stakeholders to ensure data models and frameworks are robust, scalable, and aligned with both business and regulatory requirements.

Design and Development

• Design and implement enterprise data architecture, including conceptual, logical, and physical data models for capital markets operations and analytics.

• Develop scalable, high-performance data solutions to support global business functions.

Data Governance & Quality

• Establish and maintain data governance frameworks, lineage documentation, and quality assurance processes.

• Ensure the accuracy, consistency, and security of financial and market data.

Technology Selection

• Evaluate and recommend appropriate data technologies, tools, and cloud platforms to support advanced analytics and data management.

Data Integration

• Define strategies for integrating diverse data sources across systems and functions, ensuring consistency and interoperability.

Stakeholder Collaboration

• Partner with data domain leads, business analysts, and technical teams to align data architecture with business objectives and strategic initiatives.

Regulatory Compliance

• Ensure all data practices adhere to relevant financial regulations, industry standards, and internal risk frameworks.

Strategic Thinking

• Develop and maintain a long-term data strategy and roadmap that supports the evolving needs of the organisation and capital markets landscape.

Technical Expertise

• Extensive experience in data modelling, database design, and SQL.

• Strong proficiency with data modelling tools and frameworks.

• Knowledge of ETL tools and cloud data platforms (e.g., AWS, Azure, GCP).

• Experience with Python and Kafka (desirable).

Data Management

• Proven background in designing and managing large-scale data warehousing solutions.

• Strong understanding of data governance, data quality, and metadata management principles.

Capital Markets Knowledge

• In-depth understanding of banking products, financial instruments, and capital markets operations.

• Familiarity with risk management frameworks and regulatory data requirements.

Communication & Collaboration

• Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical audiences.

• Strong stakeholder management skills and experience working across global teams.

Leadership & Influence

• Ability to provide technical leadership, mentor junior team members, and foster a collaborative, data-driven culture.