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- Tasks: Define and govern enterprise-wide data architecture for Oracle Fusion transformation.
- Company: Join a leading tech firm driving innovative data solutions.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Why this job: Shape the future of data architecture and make a significant impact.
- Qualifications: Experience in data architecture, modelling, and governance required.
- Other info: Collaborative environment with opportunities to work on complex projects.
The predicted salary is between 48000 - 72000 £ per year.
The Enterprise Data Architect is responsible for defining and governing the enterprise-wide data architecture for an Oracle Fusion transformation programme. The role ensures data consistency, integrity, and alignment across Oracle Fusion, legacy platforms, and connected enterprise systems. This role bridges programme delivery and enterprise architecture, providing authoritative guidance on Fusion data models, mappings, and standards.
Key Responsibilities
- Define and own the enterprise data architecture for the Oracle Fusion programme
- Establish data architecture principles, standards, and patterns
- Ensure alignment between Oracle Fusion data models and enterprise data strategy
- Act as the authority on Oracle Fusion data structures
- Define and maintain the enterprise data dictionary
- Lead data mapping between:
- Oracle Fusion and legacy systems
- Oracle Fusion and CRM platforms
- Oracle Fusion and asset management platforms
Governance & Data Quality
- Support data governance, ownership, and stewardship frameworks
- Work with delivery teams to address data quality issues
- Ensure data lineage, traceability, and auditability
- Provide authoritative input into migration and integration activities
- Work closely with enterprise architecture, data, integration, and programme teams
- Act as the senior data authority in design and assurance forums
- Provide clear, pragmatic guidance to internal teams and third-party partners
Required Experience
- Proven experience as an Enterprise or Lead Data Architect
- Strong background in data modelling, mapping, and data governance
- Experience working across ERP and enterprise application landscapes
- Experience with CRM and asset management platforms
- Experience working in phased or multi-wave ERP implementations
- Experience operating alongside third-party delivery partners
Personal Attributes
- Structured, methodical, and detail-oriented
- Authoritative but collaborative
- Pragmatic and delivery-focused
- Able to operate effectively in complex, high-pressure environments
Enterprise Data Architect - Oracle employer: TalentHawk
Contact Detail:
TalentHawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect - Oracle
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Oracle Fusion or data architecture. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with data modelling and governance. When you get the chance to chat with potential employers, having tangible examples will make you stand out.
✨Tip Number 3
Be proactive! If you see a company you're keen on, don’t wait for them to post a job. Reach out directly through our website and express your interest in working with them. You never know what opportunities might arise!
✨Tip Number 4
Prepare for interviews by brushing up on your knowledge of Oracle Fusion and data governance principles. Be ready to discuss how you've tackled data quality issues in the past. Confidence and expertise go a long way in landing that dream job!
We think you need these skills to ace Enterprise Data Architect - Oracle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Enterprise Data Architect. Highlight your experience with Oracle Fusion, data governance, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your work with data architecture and how you’ve tackled challenges in previous positions. Let us know what excites you about joining StudySmarter!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your experience with data modelling, mapping, and any tools or platforms you've used. We’re looking for someone who can hit the ground running, so make sure we see your strengths!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at TalentHawk
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles and standards of data architecture, especially as they relate to Oracle Fusion. Brush up on your knowledge of data models, mappings, and governance frameworks so you can confidently discuss how you would define and own the enterprise data architecture.
✨Showcase Your Experience with ERP Systems
Prepare to talk about your previous experience with ERP and enterprise application landscapes. Be ready to share specific examples of how you've worked with Oracle Fusion or similar systems, and how you’ve tackled data quality issues in past projects.
✨Demonstrate Your Collaborative Spirit
This role requires a balance of authority and collaboration. Think of examples where you’ve successfully worked with delivery teams and third-party partners to address data challenges. Highlight your ability to provide clear guidance while also being open to input from others.
✨Prepare for High-Pressure Scenarios
Given the complex nature of this role, be ready to discuss how you handle high-pressure environments. Prepare scenarios where you’ve had to maintain data integrity and consistency under tight deadlines, showcasing your structured and methodical approach.
