Data Architect
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Job description
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., * 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.
- Provide guidance and coaching to data stewards and business data owners., Data Architect - Azure SQL, Power Apps, .NET Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description. Contract | 6 Months | Hybrid (London/Birmingham) | Up to £750/day We are looking for an..., Principal AI & Data Architect Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below. Location: Remote-first with occasional client travel Sponsorship can not be provided (Take the following with a pinch of..., The Lead Security Architect will be responsible for defining, maintaining, and evolving global physical security standards for our hyperscale data centres as part of the Global Reference Design (GRD). This role ensures that all physical security measures - including access..., A Technical Architect job is now available in Shoreditch, London with an established boutique architectural practice specialising in high-end private residential projects. This London-based role sits within the luxury residential sector and focuses on technical delivery...
Requirements
- 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. xwwtmva
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Benefits & conditions
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