At a Glance
- Tasks: Design and implement data architectures to support business growth and decision-making.
- Company: Ciklum, a fast-growing tech company with a collaborative culture.
- Benefits: Great earning potential, private equity backing, and career development opportunities.
- Other info: Join a team that values innovation and empowers you to achieve more.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience in data architecture and strong stakeholder engagement skills.
The predicted salary is between 70000 - 90000 € per year.
Ciklum is looking for an Enterprise Data Architect to join our team full-time in the United Kingdom. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As an Enterprise Data Architect, become a part of a cross-functional development team engineering experiences of tomorrow. The Enterprise Data & Analytics team delivers a portfolio of solutions bringing together data assets, governance and technologies to support Client’s mission to make it easy to do business. We partner with the business to understand their needs and ensure we deliver measurable value, operational efficiency and scalable data foundations. As we evolve our Business Data Strategy, we are focused on creating a more integrated, trusted and reusable data ecosystem that enables better decision-making and supports growth.
As Enterprise Data Architect, you will play a critical role in shaping and enabling Business Data Strategy by defining how our core data assets are structured, connected and governed across the organisation. You will ensure we move from fragmented, initiative-led data solutions toward a cohesive, scalable and integrated data architecture, enabling a true single source of truth across key domains such as customer, product, revenue and growth metrics. You will work closely with business and technology teams to translate business needs into clear, scalable data design, ensuring that strategic initiatives such as Growth Intelligence are built on strong, reusable and aligned data foundations. Your success will be measured by the extent to which Client achieves consistent, trusted and reusable data, reduces duplication and fragmentation, and enables faster, more confident decision-making across the business.
Responsibilities:
- Defining and owning the target enterprise data architecture, ensuring that key data domains and “golden data assets” are clearly structured, connected and aligned across the organisation.
- Ensuring that data initiatives contribute to a single, integrated source of truth, avoiding duplication, conflicting definitions and siloed solutions.
- Partnering with business stakeholders to understand decision-making needs and translate these into scalable, outcome-driven data design.
- Working closely with technology teams to guide implementation, ensuring alignment with enterprise platforms (e.g. Snowflake) and integration patterns.
- Establishing and promoting standards for data modelling, integration and reuse, enabling consistency across federated teams while supporting flexibility where needed.
- Contributing to the Business Data Strategy and roadmap, ensuring architectural considerations are embedded and support long-term scalability and value.
Requirements:
- Experience designing and implementing data architectures in complex, enterprise environments, ideally with a mix of central and federated models.
- Strong understanding of data modelling, data integration, data lifecycle and data platforms (e.g. Snowflake), with the ability to engage effectively with technical teams.
- Ability to translate business needs into clear data design, with a focus on enabling decision-making and delivering measurable business outcomes.
- Experience working with data governance, master data management and data quality concepts, and understanding how these are enabled through architecture.
- Strong stakeholder engagement and influencing skills, with the ability to work across business and technology teams and drive alignment in a matrix environment.
- Ability to balance strategic thinking with pragmatic delivery, ensuring solutions are both scalable and achievable.
- Experience of supporting or delivering data-led transformation initiatives is advantageous.
What’s in it for you?
- Private Equity backed environment to foster growth and collaboration.
- Great earning potential for the entrepreneurial high performer.
- Build your career in a proven successful high growth company with unique service offering on the market.
- Variety of knowledge sharing, training and self-development opportunities.
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
Enterprise Data Architect employer: Description Ciklum
Ciklum is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Enterprise Data Architect to thrive. With a strong focus on employee growth, you will have access to a variety of training and self-development opportunities while working alongside a talented global team on impactful projects. Located in the United Kingdom, Ciklum offers a dynamic environment backed by private equity, ensuring great earning potential and the chance to contribute to meaningful digital transformations for Fortune 500 clients.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect
✨Tip Number 1
Network like a pro! Reach out to current employees at Ciklum on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by understanding Ciklum's projects and values. Tailor your answers to show how your skills as an Enterprise Data Architect align with their mission to create a cohesive data ecosystem.
✨Tip Number 3
Showcase your past successes! Be ready to discuss specific examples of how you've designed data architectures that improved decision-making and reduced fragmentation in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Ciklum.
We think you need these skills to ace Enterprise Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Enterprise Data Architect role. Highlight your experience with data architectures, governance, and integration patterns. 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. Keep it engaging and relevant to the role.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've improved data processes or contributed to successful projects. We love seeing measurable outcomes!
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 any important updates from us!
How to prepare for a job interview at Description Ciklum
✨Know Your Data Architecture
Make sure you have a solid understanding of data architectures, especially in complex environments. Brush up on your knowledge of data modelling, integration, and platforms like Snowflake, as these will likely come up during the interview.
✨Translate Business Needs
Be prepared to discuss how you can translate business needs into scalable data designs. Think of examples from your past experience where you successfully aligned data architecture with business objectives, as this will demonstrate your ability to deliver measurable outcomes.
✨Engage Stakeholders Effectively
Showcase your stakeholder engagement skills by preparing to discuss how you've worked with both business and technology teams in the past. Highlight any experiences where you drove alignment in a matrix environment, as this is crucial for the role.
✨Emphasise Strategic Thinking
Balance your technical expertise with strategic thinking. Be ready to talk about how you approach long-term scalability and value in your data solutions, ensuring that they are not only effective but also achievable within the organisation's framework.