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For Companies At a Glance
- Tasks: Shape enterprise-wide data and integration architecture while collaborating across IT projects.
- Company: Join a market-leading organisation focused on data and digitalisation strategies.
- Benefits: Enjoy bonuses, competitive pension schemes, enhanced parental pay, and holiday purchase options.
- Why this job: Make a real impact by ensuring data is a trusted asset across the business.
- Qualifications: Strong technical and interpersonal skills with experience in data management frameworks.
- Other info: Work from various locations with flexible onsite requirements, just 2 days a week.
The predicted salary is between 64000 - 85000 £ per year.
An exciting opportunity is available for an Enterprise Data & Integration Architect to support the delivery of a market leading organisation’s Data and Digitalisation Strategy. This role will shape the enterprise-wide approach to data and integration architecture, working collaboratively across IT projects, Data Governance, and Analytics functions under the guidance of the Head of Information Management. Whether supporting strategic initiatives or operational systems, your contribution will help ensure data is a trusted, governed, and secure asset across the business.
Key Responsibilities
- Develop and maintain conceptual and logical data models aligned to business needs.
- Partner with Governance and Security teams to define and uphold data policies, metadata frameworks, standards, and data dictionaries.
- Provide architectural oversight and assurance across data lifecycle activities in IT delivery projects.
- Define and implement integration strategy and standards, ensuring secure and scalable system integrations.
- Enable open data and data sharing objectives through policy, standards, and enabling technologies.
- Support architecture activities across metadata, data warehousing, MDM, BI/MI reporting, analytics, and data science platforms.
Skills & Experience
- Ideal candidates will bring a strong blend of technical and interpersonal capabilities.
- Familiarity with frameworks such as TOGAF and DAMA/DMBOK, and experience in data disciplines including MDM, data quality, and metadata management.
- Exposure to enterprise technologies such as: Oracle EBS/Fusion ERP, IBM Maximo, Salesforce (including Mulesoft and Tableau), Microsoft Power BI, Microsoft 365, ServiceNow, ESRI ArcGIS, Talend, AWS, Orbus Infinity.
- Strong communicator with the ability to translate complex technical language into accessible insights for varied audiences.
- Proven ability to develop cross-functional data architectures aligned with diverse business objectives.
- Demonstrated problem-solving skills with a focus on root cause analysis and strategic resolution.
This role can be based from a number of office locations including on the South Coast, London, Glasgow or Edinburgh. The role requires circa 2x days per week onsite at any one of these locations. There may be the requirement to travel to a different office location on rare occasions. If this role sounds like a good fit then please apply today!
Enterprise Data Architect (England) employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect (England)
✨Tip Number 1
Familiarise yourself with the specific enterprise technologies mentioned in the job description, such as Oracle EBS/Fusion ERP and Salesforce. Having hands-on experience or relevant certifications can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with frameworks like TOGAF and DAMA/DMBOK. Engaging in discussions on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills during interviews by discussing past experiences where you successfully tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Tip Number 4
Showcase your communication skills by being able to explain technical concepts in simple terms. This is crucial for the role, so practice articulating your thoughts clearly and concisely, especially when discussing data governance and integration strategies.
We think you need these skills to ace Enterprise Data Architect (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your familiarity with frameworks like TOGAF and DAMA/DMBOK, as well as your experience with enterprise technologies mentioned in the listing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background makes you a perfect fit. Emphasise your ability to develop cross-functional data architectures and your strong communication skills.
Highlight Key Achievements: In your application, include specific examples of past projects where you successfully implemented data governance or integration strategies. This will demonstrate your problem-solving skills and strategic thinking.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an Enterprise Data Architect.
How to prepare for a job interview at TRIA
✨Understand the Data Landscape
Familiarise yourself with the key data technologies mentioned in the job description, such as Oracle EBS, Salesforce, and AWS. Being able to discuss your experience with these tools will demonstrate your technical expertise and relevance to the role.
✨Showcase Your Architectural Skills
Prepare to discuss your experience in developing data models and integration strategies. Be ready to provide examples of how you've successfully implemented data governance and security policies in previous roles.
✨Communicate Clearly
As a strong communicator, you should be able to translate complex technical concepts into simple terms. Practice explaining your past projects and experiences in a way that is accessible to non-technical stakeholders.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss specific challenges you've faced in data architecture and how you approached solving them. Highlight your analytical skills and your ability to conduct root cause analysis to find strategic resolutions.
