Job Description
What You Bring
• 5+ years of experience, or demonstrated delivery against requirements in data modelling, data architecture, or a closely related discipline within financial services with proficiency in UML data modelling tools such as Sparx EA (ideally), Erwin, PowerDesigner or similar
• Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management.
• Strong understanding of the financial data domain: securities reference data, corporate actions, market data, and regulatory classifications, fixed income would be highly desirable
• Understanding of API design principles (REST, GraphQL) and schema evolution strategies for backward compatibility is essential. Direct experience of making data commercially available to AI agents is desirable.
• Fluent in English (both verbal & writing), German is a plus. It is essential that the person in this role is able to clearly communicate complex concepts and data structures to a wide range of stakeholders.