Data Architect and Data Modeller

Riverflex

11d • Onsite

About The Position

Our client, a leading real estate services organisation operating across Continental Europe, is building a shared, standardised data model to harmonise how core business concepts — properties, assets, parties, transactions, leases and valuations — are understood across countries and systems. You join a lean, senior team to design that model and the principles for connecting existing local data to it. This is a deep, hands-on modelling role. You define the conceptual and logical data model, separate the shared "common core" from country- and business-line-specific extensions, and design the mapping patterns that let existing local data systems connect to the new shared layer.

Requirements

• Strong hands-on data modelling and data architecture experience (conceptual, logical and physical).
• Semantic modelling expertise — ontologies, knowledge graphs, Linked Data (e.g. RDF, SHACL) and related tooling.
• Experience with Domain-Driven Design and defining a semantic layer over multiple source systems.
• Grounding in data governance and data management practice (e.g. DAMA / CDMP-style frameworks).
• A structured, transparent communication style; comfortable bridging business goals and technical execution across distributed teams.
• EU work authorisation.

Nice To Haves

• Experience harmonising data models across multiple countries or business units.
• Real estate, financial services or other asset/transaction-heavy domain exposure.

Responsibilities

• Define the conceptual and logical data model, including core domains, entities, attributes and relationships.
• Separate shared enterprise semantics from country-, sector- and business-line-specific extensions.
• Design local-to-central mapping principles, data standards and controlled extension patterns.
• Establish ownership, quality, lineage, metadata and model change-control approaches with the team.
• Translate the model into physical design principles and inputs for the data engineering backlog.
• Work with country and business-line stakeholders to validate the model and drive adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed