At a Glance
- Tasks: Shape and evolve the enterprise data landscape for trusted and accessible data capabilities.
- Company: Join a leading firm where technology drives innovation and growth.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for career advancement and mentoring.
- Why this job: Make a real impact by defining data architecture that supports strategic transformation.
- Qualifications: Experience in Data Architecture and strong stakeholder management skills required.
The predicted salary is between 70000 - 90000 € per year.
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.
The Role
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.
Duties and Responsibilities
- 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.
- Lead architectural reviews and provide governance input across major programmes, ensuring alignment with enterprise standards and strategic direction.
- 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.
- Contribute to architecture governance forums including Architecture Review Boards, Technical Design Authorities, and Change Advisory Boards.
Skills and Experience
- 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 contributing to enterprise architecture governance and operating within TOGAF or similar architecture frameworks.
- Strong stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.
- 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.
- Familiarity with enterprise architecture tooling such as LeanIX, Ardoq, or similar platforms.
- 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.
Qualifications
- TOGAF Certified or similar Enterprise Architecture qualification.
- Additional certifications in Data Governance, Information Architecture, or Enterprise Architecture advantageous.
Data Architect employer: Mentmore
As a Data Architect at our firm, you will be part of a dynamic Technology team that is pivotal to our innovation and growth strategy. We offer a collaborative work culture that prioritises employee development, with ample opportunities for professional growth and mentorship in a supportive environment. Located in a vibrant area, our firm provides a competitive benefits package and fosters a commitment to diversity and inclusion, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data architecture game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and achievements in data architecture. This is your chance to demonstrate how you’ve shaped enterprise data landscapes and made a real impact.
✨Tip Number 3
Prepare for those interviews! Research the company’s data strategy and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their mission of empowering people with data.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your passion for data architecture.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Architect role. Highlight your experience in enterprise data architecture, governance frameworks, and any relevant cloud-based ecosystems like Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data architecture and how your background makes you a perfect fit for our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Mention your expertise in data modelling, integration patterns, and any familiarity with tools like LeanIX or Ardoq. This will help us see how you can contribute to our data landscape.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Mentmore
✨Know Your Data Architecture Principles
Before the interview, brush up on enterprise data architecture principles and governance frameworks. Be ready to discuss how these concepts align with the firm's strategic objectives and how you can contribute to their data landscape.
✨Showcase Your Cloud Expertise
Since the role involves designing cloud-based data ecosystems, make sure to highlight your experience with Microsoft Azure or similar platforms. Prepare examples of past projects where you successfully implemented cloud solutions and how they benefited the organisation.
✨Prepare for Stakeholder Engagement
This position requires strong stakeholder management skills. Think of instances where you've effectively communicated complex data concepts to both technical and non-technical audiences. Be ready to share how you navigated challenges in stakeholder engagement.
✨Demonstrate Your Governance Knowledge
Familiarise yourself with regulatory requirements like GDPR and data protection standards. Be prepared to discuss how you've integrated compliance into your architectural decisions and how you can ensure data governance within the firm.