Data Architect
Posted on 26 February 2026
£90 000 - £100 000
Fixed Term Contract
London,
Digital Transformation
31239
Opportunity description
Job Title:
Data Architect
Role: Data Architect
Salary: £90,000 - £100,000
Contract Length: 24 months Fixed Term Contract
Hybrid working: 2-3 days on site, Central London
We are looking for an experienced Data Architect to join a global transformation programme to modernise core business processes through the implementation of Oracle Fusion ERP and EPM. As a Data Architect, you will be tasked to define and govern the end‑to‑end data architecture for the Oracle Fusion landscape, ensuring data models, integrations, and information flows are secure, scalable, and fit for purpose. You will be working closely with functional and technical leaders, data owners, and delivery partners, you will be responsible for setting data standards, guiding integration and migration approaches, and ensuring the programme delivers high‑quality, trusted data.
Key responsibilities include:
Skills needed:
Salary: £90,000 - £100,000
Contract Length: 24 months Fixed Term Contract
Hybrid working: 2-3 days on site, Central London
We are looking for an experienced Data Architect to join a global transformation programme to modernise core business processes through the implementation of Oracle Fusion ERP and EPM. As a Data Architect, you will be tasked to define and govern the end‑to‑end data architecture for the Oracle Fusion landscape, ensuring data models, integrations, and information flows are secure, scalable, and fit for purpose. You will be working closely with functional and technical leaders, data owners, and delivery partners, you will be responsible for setting data standards, guiding integration and migration approaches, and ensuring the programme delivers high‑quality, trusted data.
Key responsibilities include:
- Define the target data architecture for an Oracle Fusion ERP and EPM environment, covering conceptual, logical, and physical models.
- Establish canonical data definitions, master data and reference data standards, and ownership across data domains.
- Design end‑to‑end data flows across ERP, EPM, data platforms, and downstream applications using approved integration patterns (e.g., OIC, APIs, FBDI, import/export pipelines).
- Own the interface inventory and data mapping specifications, ensuring full traceability from source to consumption.
- Recommend appropriate integration patterns (near real-time vs. batch) based on performance, cost, and business need.
- Lead the data migration strategy and execution across ERP and EPM, including profiling, cleansing, enrichment, and reconciliation.
- Define migration staging, sequencing, and rehearsal plans, overseeing quality and issue resolution.
- Establish criteria for cutover readiness and support approval checkpoints.
- Define data quality rules, controls, KPIs, and remediation processes across critical data objects.
- Establish data governance processes, RACI models, and decision‑making forums.
- Ensure compliance with organisational policies and regulatory expectations regarding privacy, retention, and security.
- Partner with security and technical teams to define data access models, segregation‑of‑duties controls, and masking/anonymisation approaches for non‑production environments.
- Ensure handling of sensitive data aligns with organisational and legal requirements.
- Enable reporting and analytics by defining semantic models and curated datasets derived from ERP and EPM data.
- Collaborate with reporting teams to ensure consistent metrics, hierarchies, and dimensional structures.
- Maintain architecture artefacts including data models, lineage diagrams, interface specifications, and data dictionaries.
- Contribute to design authority forums and change‑control processes, ensuring data‑related impacts are assessed and approved.
- Work closely with functional leads to ensure process designs reflect robust data structures.
- Partner with technical teams, implementation partners, and internal IT to drive cohesive delivery.
- Provide guidance and coaching to data stewards and business data owners.
Skills needed:
- Experience leading data architecture or data workstreams on Oracle Fusion ERP/EPM programmes.
- Strong understanding of core enterprise data and reporting needs.
- Hands‑on knowledge of integration tools and patterns (OIC, APIs, FBDI, ETL).
- Proven delivery of large‑scale data migration.
- Strong grounding in data governance, quality, and metadata practices.
- Able to explain complex data concepts and influence stakeholders.
- Experience designing analytics and semantic models.
- Familiarity with cloud data platforms and modern data architecture.
- Awareness of data security and privacy requirements.
- Pragmatic, detail‑focused, and collaborative.
