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- Tasks: Lead the design and implementation of enterprise data architecture for a dynamic financial services organisation.
- Company: Join a growing Group Data & Analytics Office focused on data transformation and innovation.
- Benefits: Enjoy hybrid working, with 50% remote options and opportunities for professional development.
- Why this job: Be at the forefront of data strategy, driving impactful change and enhancing data literacy across the organisation.
- Qualifications: Strong experience in data architecture, integration, and enterprise frameworks like TOGAF; leadership skills required.
- Other info: Opportunity to chair an internal data group and collaborate with key stakeholders.
The predicted salary is between 54000 - 84000 £ 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 expectations:
- 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 employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience in financial services. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Familiarise yourself with enterprise architecture frameworks like TOGAF and ArchiMate. Consider obtaining certifications or attending workshops that focus on these frameworks to demonstrate your commitment and expertise.
✨Tip Number 3
Stay updated on emerging data technologies such as Azure Databricks and Microsoft Fabric. Engage in online courses or tutorials to enhance your practical skills and showcase your knowledge during interviews.
✨Tip Number 4
Prepare to discuss your experience in leading data architecture teams and managing complex integration programmes. Be ready to share specific examples of how you've successfully navigated challenges and delivered results in previous roles.
We think you need these skills to ace Enterprise Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and expectations of the Enterprise Data Architect position. Familiarise yourself with key concepts like data strategy, data management, and analytics capabilities.
Tailor Your CV: Customise your CV to highlight relevant experience in data architecture, integration, and transformation programmes. Emphasise your knowledge of enterprise architecture frameworks such as TOGAF and ArchiMate, as well as your familiarity with technologies like Azure Databricks and Microsoft Fabric.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your ability to lead teams. Mention specific examples of how you've contributed to data transformation projects and how you can bring value to the organisation.
Highlight Leadership Skills: Since this role involves a critical leadership position, be sure to highlight your experience in leading data architecture teams and your ability to build strong relationships with stakeholders. Discuss how you've promoted a culture of accountability and continuous improvement in previous roles.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Data Architecture Expertise
Be prepared to discuss your experience with enterprise data architecture frameworks like TOGAF and ArchiMate. Highlight specific projects where you've designed data architectures for complex integration and transformation programmes, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand Emerging Data Technologies
Familiarise yourself with the latest trends in data technology, particularly those mentioned in the job description such as Azure Databricks and Microsoft Fabric. Being able to discuss how these technologies can be leveraged in data architecture will show that you are forward-thinking and aligned with the company's goals.
✨Prepare for Stakeholder Engagement Scenarios
Since building strong relationships with stakeholders is crucial, think of examples where you've successfully collaborated with different teams. Be ready to explain how you identified their challenges and how your data architecture solutions helped address those issues.
✨Demonstrate Leadership and Continuous Improvement
As a potential leader in the Data Architecture team, share your experiences in promoting a culture of accountability and continuous improvement. Discuss how you've upskilled others in data literacy and architecture principles, which will highlight your leadership qualities and commitment to team development.
