At a Glance
- Tasks: Lead data architecture initiatives and enhance data usage across the organisation.
- Company: Join MBN Solutions, a leader in placing top-tier Data, AI & Tech talent globally.
- Benefits: Enjoy a hybrid work model with 50% remote options and competitive perks.
- Why this job: Be part of a transformative team shaping data strategy and innovation in a dynamic environment.
- Qualifications: Strong background in data architecture, enterprise frameworks, and data technology is essential.
- Other info: Opportunity to chair an internal Data group and upskill stakeholders on data literacy.
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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
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. Attend industry events or webinars where you can meet people who work in similar roles. This can help you gain insights into the company culture and expectations, making you a more informed candidate.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Databricks and Microsoft Fabric. Consider taking online courses or certifications to enhance your knowledge and demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your experience with enterprise architecture frameworks like TOGAF and ArchiMate. Be ready to provide examples of how you've applied these frameworks in past projects, as this will showcase your expertise and relevance to the role.
✨Tip Number 4
Engage with the company's online presence, such as their social media or blog. Comment on their posts or share relevant content to show your interest in their work. This can help you stand out and demonstrate your enthusiasm for the position.
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 in data architecture and management. Focus on specific projects where you've designed data architectures or led transformation programmes, especially those involving complex data integration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with the company's goals. Mention your familiarity with enterprise architecture frameworks like TOGAF and ArchiMate, and provide examples of how you've successfully implemented these in past roles.
Showcase Technical Skills: Clearly outline your technical expertise in data technologies such as Azure Databricks, Dynamics 365, and Microsoft Fabric. Include any relevant certifications or training that demonstrate your knowledge of data security, MDM, and analytics.
Highlight Leadership Experience: Since the role involves a critical leadership position, emphasise your experience in leading teams and collaborating with stakeholders. Provide examples of how you've promoted data literacy and architectural best practices within your previous organisations.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Data Architecture Knowledge
Make sure to highlight your understanding of enterprise-wide data architecture and frameworks like TOGAF and ArchiMate. Be prepared to discuss specific examples from your past experiences where you successfully designed data architectures for complex integration and transformation programmes.
✨Demonstrate Leadership Skills
As this role involves leading a Data Architecture team, it's crucial to showcase your leadership abilities. Share instances where you've led teams on multi-vendor programmes and how you managed stakeholder relationships to achieve project goals.
✨Discuss Emerging Data Technologies
Familiarise yourself with the latest trends in data technology, especially those mentioned in the job description like Azure Databricks and Microsoft Fabric. Be ready to discuss how these technologies can be leveraged to enhance data management and analytics capabilities.
✨Prepare for Stakeholder Engagement Scenarios
Since building strong business relationships is key, think of examples where you've successfully engaged with stakeholders to understand their challenges. Prepare to explain how you championed data architecture solutions that addressed their needs and promoted data democratization.