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For Companies At a Glance
- Tasks: Shape the enterprise data landscape and define architecture standards for data governance and integration.
- Company: Join a leading firm where technology drives innovation and growth.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborative environment with a focus on modern architectural practices and digital transformation.
- Why this job: Make a real impact by enabling trusted and accessible data capabilities across the organisation.
- Qualifications: Proven experience in Data Architecture and strong understanding of data governance frameworks.
The predicted salary is between 70000 - 90000 £ per year.
The Department
Our Technology team continues to go from strength to strength, playing a vital role in firm-wide innovation and strategy. Far from being a support function, Technology is integral to the firm’s growth agenda, backed by strong leadership engagement and sustained investment.
As a Data Architect, you will play a strategic role in shaping and evolving the organisation’s enterprise data landscape, enabling trusted, secure, and accessible data capabilities across the business.
Reporting formally to the Head of Data and functionally to the Head of Architecture, you will be responsible for defining enterprise-wide data architecture standards, principles, and target-state roadmaps that align with both the firm’s Data Strategy and broader Enterprise Architecture strategy.
You will provide architectural leadership across data domains, governance, integration, analytics, and platform capabilities, ensuring consistency, scalability, security, and long-term sustainability of the firm’s data ecosystem.
Working closely with Enterprise Architects, Solution Architects, Product teams, Data Governance, and senior business stakeholders, you will ensure that data architecture supports strategic transformation initiatives, regulatory obligations, operational efficiency, and enhanced decision-making across the organisation.
You will contribute to the firm’s mission of putting the power of data into the hands of its people through well-governed, business-aligned, and future-ready data architecture.
- Define and maintain enterprise data architecture principles, standards, reference architectures, and governance frameworks aligned to the firm’s strategic objectives.
- Develop and maintain the Data Architecture roadmap in alignment with Enterprise Architecture strategy, business transformation programmes, and the wider Data Strategy.
- Own and evolve the enterprise data model, ensuring consistency and alignment across products, platforms, and business domains.
- Define target-state architecture for enterprise data platforms, analytics, reporting, and integration capabilities.
- Establish architectural standards for data modelling, metadata, lineage, master data, and information lifecycle management.
- Define architecture patterns for Master Data Management (MDM) and enterprise-wide data consistency across key business entities.
- Provide architectural oversight for data integration approaches including APIs, messaging frameworks, event-driven architectures, and cloud-native integration patterns.
- Partner with Security and Risk teams to ensure data protection, privacy-by-design, classification, retention, and regulatory compliance standards are embedded into all architecture decisions.
- Establish and promote enterprise data governance frameworks, including ownership, stewardship, accountability, and data quality standards.
- Define strategic architecture approaches for analytics, AI, and advanced data capabilities to support future innovation initiatives.
- Act as the senior authority for enterprise data architecture decisions, providing guidance to delivery, platform, and product teams.
- Support adoption of modern architectural practices including domain-driven design, federated data ownership, and data product-oriented operating models.
- Collaborate closely with Data Governance and Enterprise Architecture functions to embed best practices for data quality, lineage, consistency, and compliance across the organisation.
- Champion data architecture best practice across the business, supporting capability uplift, mentoring, and knowledge sharing within architecture and technology teams.
Proven experience operating in senior Data Architecture or Enterprise Data Architecture roles within complex enterprise environments.
Strong experience defining enterprise data strategies, target-state architectures, and data operating models.
Excellent understanding of enterprise data architecture principles, governance frameworks, and information management practices.
Strong expertise in enterprise data modelling, conceptual/logical modelling, and data domain design.
Experience designing modern cloud-based data ecosystems, preferably within Microsoft Azure environments.
Knowledge of enterprise integration architecture patterns including APIs, messaging, event-driven architecture, and hybrid integration models.
Experience defining architecture standards for data warehousing, analytics, reporting, and information management capabilities.
Strong understanding of Master Data Management (MDM), metadata management, lineage, and data quality frameworks.
Experience working within federated, domain-oriented, or product-centric data operating models.
Good understanding of regulatory and compliance requirements including GDPR and data protection standards.
Experience working in regulated, professional services, legal, or similarly complex business environments is highly desirable.
Experience with Azure-based enterprise data platforms and analytics ecosystems.
Knowledge of modern data architecture approaches including Data Mesh and data product frameworks.
Exposure to AI/ML governance, information architecture, and emerging enterprise data capabilities.
Experience supporting enterprise-wide digital transformation initiatives.
DAMA CDMP (Certified Data Management Professional) or equivalent desirable.
Additional certifications in Data Governance, Information Architecture, or Enterprise Architecture advantageous.
Data Architect / BI Architect employer: Mentmore
Contact Detail:
Mentmore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / BI Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements in data architecture. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and BI. Think about how your experience aligns with the firm's goals and be ready to discuss how you can contribute to their data strategy.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Architect / BI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with enterprise data architecture, governance frameworks, and any relevant cloud-based ecosystems like Azure. We want to see how your skills align with our needs!
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 you can contribute to our mission. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise in areas like data modelling, integration patterns, and compliance standards. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Mentmore
✨Know Your Data Architecture Fundamentals
Make sure you brush up on your knowledge of enterprise data architecture principles and governance frameworks. Be ready to discuss how you've applied these in past roles, especially in complex environments. This will show that you understand the core responsibilities of the Data Architect position.
✨Showcase Your Cloud Expertise
Since the role involves designing cloud-based data ecosystems, particularly in Microsoft Azure, be prepared to share specific examples of your experience with Azure. Discuss any projects where you implemented cloud solutions and how they benefited the organisation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in data integration or governance and how you overcame them. This will demonstrate your ability to think critically and strategically.
✨Highlight Collaboration Skills
As a Data Architect, you'll need to work closely with various teams. Be ready to talk about how you've collaborated with Enterprise Architects, Product teams, and Data Governance in the past. Share examples of how your teamwork led to successful outcomes, emphasising your communication and leadership skills.