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For Companies At a Glance
- Tasks: Shape enterprise data architecture and support digitalisation strategies.
- Company: Join a market-leading organisation focused on data governance and integration.
- Benefits: Enjoy bonuses, competitive pension, enhanced parental pay, and flexible working options.
- Why this job: Make a real impact on data security and governance while collaborating across teams.
- Qualifications: Strong technical skills in data management and communication; familiarity with frameworks like TOGAF.
- Other info: Work from various locations with only 2 days onsite per 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 employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect
✨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, as you'll need to collaborate with various teams and stakeholders across the organisation.
We think you need these skills to ace Enterprise Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of the Enterprise Data Architect role. Emphasise your familiarity with frameworks like TOGAF and DAMA/DMBOK, as well as your experience with enterprise technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the company's data and digitalisation strategy. Explain how your background in data governance, integration architecture, and cross-functional collaboration makes you an ideal candidate for this position.
Highlight Key Achievements: In both your CV and cover letter, include specific examples of past projects where you successfully developed data models or implemented integration strategies. Quantify your achievements where possible to demonstrate your impact.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role focused on data integrity and governance.
How to prepare for a job interview at TRIA
✨Understand the Role and Responsibilities
Make sure you thoroughly read the job description and understand the key responsibilities of the Enterprise Data Architect role. Be prepared to discuss how your experience aligns with developing data models, defining integration strategies, and collaborating with governance teams.
✨Showcase Your Technical Knowledge
Familiarise yourself with the specific technologies mentioned in the job description, such as Oracle EBS, Salesforce, and AWS. Be ready to discuss your hands-on experience with these tools and how they relate to data architecture and integration.
✨Demonstrate Communication Skills
As a strong communicator is essential for this role, practice explaining complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in previous roles.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about your problem-solving skills, particularly in relation to data governance and quality. Think of specific instances where you've identified root causes and implemented strategic solutions, and be ready to share these during the interview.
