Data Architect

Job Opportunity: Data Architect / Data Modeller

Location: London, 2 days travel to client’s office.

Employment type: Contract- 3 months

About the Role

We are looking for a Data Architect / Data Modeller to turn business and domain requirements into scalable, implementation-ready data designs. You will lead the data architecture track for your assigned scope, from requirements through to go-live and production support. You will work with business stakeholders, solution architects, data engineers, and integration, API and migration teams.

Key Responsibilities

• Translate enterprise and domain models into solution-specific logical and physical data models.
• Define entities, attributes, relationships, keys, constraints and business rules, and keep them traceable to business concepts.
• Define data products: purpose, scope, ownership, consumers, structure and quality expectations.
• Define API and event data requirements, including payloads, identifiers, mandatory and optional fields, and data contracts.
• Engage business stakeholders and BAs to clarify requirements, facilitate workshops, and explain designs in simple business language.
• Guide data engineering, integration and migration teams on physical structures, source-to-target mappings and transformation rules.
• Own the data-design direction, track architecture decisions, risks and dependencies, and review designs before implementation.
• Maintain modelling standards, naming conventions, model versioning and documentation, including data dictionaries and lineage.
• Support SIT, UAT, migration testing, cutover, go-live and early-life production support, including analysing data defects.
• Mentor junior modellers and analysts, and support data quality, privacy, security and auditability requirements.

Must-Have Skills

• Strong experience in data architecture and enterprise or domain data modelling
• Hands-on conceptual, logical and physical data modelling
• Relational and modern data-platform design principles
• Domain-driven architecture, data ownership and domain boundaries
• Defining data products and reusable data structures
• REST APIs, integration patterns, events, event-driven architecture and data contracts
• Experience working with data engineering, migration and integration teams
• Translating complex business requirements into practical data designs
• Stakeholder management, workshop facilitation and communication
• Analytical and problem-solving skills for complex data and design defects
• End-to-end ownership of the data architecture workstream
• Experience in an Agile delivery model

Good-to-Have

• Source-to-target mapping, data lineage, data migration
• Master and reference data
• Data quality, privacy, security and retention
• Mentoring experience