Senior Capital Markets Data Architect for Enterprise Platform

Luxoft; England; On-site; GBP 80,000 - 110,000; Full time

Job summary

Luxoft is seeking a Senior Data Modeller to design and standardise data models across asset classes in a global capital markets environment. You will shape core data structures that support trading, risk, and reference data, collaborating with architecture, engineering, and product teams to ensure governance and reusability.

In this hands-on role, you will lead data modelling efforts, define canonical models, and partner with stakeholders to drive data quality and delivery across multiple

Qualifications

• Extensive experience in capital markets data modelling and architecture.
• Experience designing canonical data models and data standards.
• Proven track record on enterprise data platforms and data warehouses.

Responsibilities

• Design and maintain logical and physical data models for capital markets platforms.
• Define standardised representations for financial instruments and trade types.
• Ensure alignment between business requirements and data architecture.
• Analyse complex trading workflows to identify data requirements and dependencies.
• Work with engineering and architecture teams to support platform delivery.
• Understand upstream and downstream data consumers across systems.
• Lead workshops to gather and refine business and data requirements.
• Promote data quality, consistency, and reusability across the organisation.
• Support data integration initiatives across multiple platforms and systems.

Skills

Data modelling

Capital markets

Data architecture

Stakeholder engagement

ETL/ELT

Data pipelines

Murex

AI-assisted analytics

Data governance

Tools

Jira

Confluence

XML

fpML

Murex

Job description

Luxoft is seeking a Senior Data Modeller to design and standardise data models across asset classes in a global capital markets environment. You will shape core data structures that support trading, risk, and reference data, collaborating with architecture, engineering, and product teams to ensure governance and reusability.

In this hands-on role, you will lead data modelling efforts, define canonical models, and partner with stakeholders to drive data quality and delivery across multiple