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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative data architecture for transformation programmes.
- Company: Join a growing Group Data & Analytics Office in a dynamic financial services organisation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategies and driving innovation in data technology.
- Qualifications: Expertise in data architecture, integration, and enterprise frameworks like TOGAF.
- Other info: Collaborative environment with a focus on continuous improvement and upskilling.
The predicted salary is between 36000 - 60000 £ per year.
A fantastic opportunity to join a growing Group Data & Analytics Office. As the Enterprise Data Architect, you will be responsible for enhancing the effectiveness of how data is used across this FS organisation. You will provide Data Strategy, Data Management and Analytics capabilities. This person will play a critical leadership role responsible for bringing best practice in data architecture and emerging data technology trends to support the execution of the Data Transformation roadmap.
The Job:
- Accountable for the delivery of the Enterprise Data Architecture and directing detailed Data Architecture for major transformation programmes.
- Key contributor to the data architecture target state including maintaining key architectural viewpoints (Data Management, Analytics/AI, MI/BI and Decisioning).
- Working with the Head of Data Strategy on mapping enabling Data Capabilities to the enterprise data architecture.
- Promoting a culture of accountability and continuous improvement for architectural principles, designs and patterns.
- Contributing to significantly upskilling key stakeholders on data literacy, data architecture and data commercialisation.
- Work closely with key stakeholders to ensure alignment to end-to-end domain architecture, docking into existing architecture design authority/boards where appropriate.
- Building strong business relationships with key stakeholders to understand their current challenges and be a champion for delivering a data architecture to solve their problems and democratise data.
- Chair of a significant internal Data group.
The Person:
- Excellent data design and enterprise-wide data architecture understanding and skills.
- Experience of designing data architectures for complex data integration and transformation programmes.
- Strong and demonstrable specialist knowledge of enterprise architecture frameworks, trends and standards, for example TOGAF and ArchiMate.
- Proven track record of leading a Data Architecture team on multi-vendor programmes and matrix led engagements.
- Strong knowledge of Data technology and concepts, including Azure Databricks, Dynamics 365, Microsoft Fabric, data pipelines, data security, MDM, data cataloguing, ML/AI & Analytics.
- Demonstrable knowledge of data & digital innovation trends, for example data architectures supporting GenAI and Customer Next Best Action/Personalisation.
Enterprise Data Architect in Edinburgh employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Enterprise Data Architect role.
✨Tip Number 2
Prepare for those interviews by brushing up on your data architecture knowledge. We recommend diving deep into enterprise architecture frameworks like TOGAF and ArchiMate. Show them you’re not just a candidate, but the candidate they need!
✨Tip Number 3
Don’t forget to showcase your leadership skills! As an Enterprise Data Architect, you’ll be guiding teams and stakeholders. We suggest sharing examples of how you’ve led data transformation projects in the past during your discussions.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our mission in enhancing data usage across the organisation.
We think you need these skills to ace Enterprise Data Architect in Edinburgh
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 data architecture frameworks like TOGAF and any relevant projects that showcase your skills in data integration and transformation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific technologies you’ve worked with, like Azure Databricks or Microsoft Fabric.
Showcase Your Leadership Skills: As a critical leader in this role, it’s important to demonstrate your ability to lead teams and drive change. Share examples of how you've successfully led data architecture initiatives or upskilled stakeholders in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at MBN Solutions
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of enterprise data architecture frameworks like TOGAF and ArchiMate. Be ready to discuss how you've applied these in past projects, especially in complex data integration and transformation programmes.
✨Showcase Your Leadership Skills
As a potential leader in the Data Architecture team, it's crucial to demonstrate your experience in leading multi-vendor programmes. Prepare examples of how you've successfully managed teams and collaborated with stakeholders to deliver effective data solutions.
✨Stay Current with Data Technology Trends
Familiarise yourself with the latest data technologies and concepts, such as Azure Databricks and Microsoft Fabric. Be prepared to discuss how these tools can enhance data management and analytics capabilities within the organisation.
✨Emphasise Communication and Relationship Building
Highlight your ability to build strong relationships with key stakeholders. Share specific instances where you've championed data architecture solutions that addressed their challenges and promoted a culture of accountability and continuous improvement.
