National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Oracle Fusion Lead Enterprise Data Architect

Wisestep
Nottingham
1 week ago
Applications closed

Related Jobs

View all jobs

Enterprise Data Architect

Oracle Fusion Data Architect

Interim Financial Accountant

Oracle Business Intelligence Consultant

Analytics and Data Tester

Master Data Analyst

The Role

As anOracle Fusion Data Architect,you will serve as an Oracle Fusion Data Architect to lead the data strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. You should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM), strong expertise in ETL, data governance and cloud data integration tools.

Key Responsibilities:

  • Provide solutions and configure Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains.

  • Design end-to-end data solutions, including data modeling, integration architecture and migration plan for on-premises to cloud transitions.

  • Work closely with functional team and implementation partners to map legacy data to Fusion data structures.

  • Lead data conversion activities using tool like Oracle FBDI, ADFdi, HDL and REST APIs.

  • Ensure data quality, integrity and compliance with governance policies and regulatory standards.

  • Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security.

  • Develop and maintain data lineage, metadata and architecture documentation.

  • Support reporting and analytics initiatives by ensuring data availability and consistency across systems.

  • Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle Data Integrator (ODI), Oracle Fusion Data Intelligence (FDI), Oracle Transactional Business Intelligence (OTBI) and BI Publisher.

Your Profile

Key skills/knowledge/experience:

 

  • Strong understanding of Oracle Fusion data model, including ESS jobs, interfaces and seeded tables.

  • Hands-on experience with FDBI, HDL, BIP, OTBI, Snart View, OIC and REST/SOAP APIs.

  • Proven experience in large-scale data migration projects.

  • Expertise in SAL, PL/SQL and Oracle database technologies.

  • Strong knowledge of data governance, data quality frameworks and compliance standards (e.g., GDPR, SOZ).

  • Experience with Oracle SaaS-PaaS integration.

  • Excellent communication and stakeholder management skills.

Desirable skills/knowledge/experience:

  • An Analytical and problem-solving mindset.

  • Strong leadership and mentoring capabilities.

  • Ability to manage multiple priorities in a fast-paced environment.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

Jobs

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

Jobs

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.