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# Enterprise Information / Data Architect

- **Company:** Experis
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £169,000.0 - £179,400.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Agile Methodology, Artificial Intelligence, Data Architecture, Data Transformation, Python (Programming Language), Machine Learning, Standard Sql, Digital Twin, Azure Data Factory, Aris Software, Togaf, Databricks
- **Published:** August 24, 2026
- **Apply:** https://www.experis.co.uk/job/enterprise-information-slash-data-architect-6003906/apply

## About the Role

* Strong enterprise-level Information or Data Architecture experience.
 * Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling.
 * Experience designing end-to-end data architectures across complex organisations.
 * Strong Azure data platform experience, including Databricks.
 * Experience delivering large-scale transformation programmes.
 * Ability to influence and challenge senior stakeholders, including C-suite executives.
 * Experience within complex, asset-heavy, property, real estate, or similar environments.
 * Finance transformation experience.
 * Excellent communication and stakeholder management skills.

Desirable Skills

 * TOGAF, DAMA-DMBOK, or similar architecture frameworks.
 * Experience supporting AI, advanced analytics, and machine learning initiatives.
 * Knowledge of SQL and/or Python.
 * LeanIX, ARIS, or other Enterprise Architecture tooling.
 * Geospatial data and digital twin experience.
 * Agile or hybrid delivery experience.

This is an excellent opportunity for a senior data architecture professional looking to influence enterprise strategy and drive impactful data transformation across a complex business environment.

## Description

You'll work closely with business, technology, and architecture teams to ensure data is structured, governed, and leveraged effectively to support decision-making, regulatory requirements, and digital transformation initiatives., * Define and maintain current and target-state enterprise data architectures.

 * Develop conceptual, logical, and physical data models.
 * Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks.
 * Create data architecture roadmaps aligned to business and digital strategy.
 * Drive data governance, lineage, quality, observability, and master data management initiatives.
 * Ensure alignment between enterprise data models and solution architectures.
 * Partner with business and technology stakeholders to define requirements and data strategies.
 * Contribute to Architecture and Design Authority governance activities.
 * Act as a thought leader, mentoring architects, analysts, and data teams.


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