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- Tasks: Design scalable data architectures and develop strategies for impactful data solutions.
- Company: Join a forward-thinking company focused on innovative data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and drive real business value.
- Qualifications: 5+ years in data roles, with strong skills in cloud platforms and data modelling.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Data Architect Hybrid: 1-2 days per week in the office (North West) 6-month Fixed Term Contract Experis are delighted to be partnering with a large, well-established organisation as they continue to evolve and modernise their enterprise data landscape. We are supporting them in the search for an experienced Data Architect to join their Group Data & Analytics function on an initial 6-month FTC. This role plays a critical part in shaping how data is structured, modelled and connected across the organisation. You\’ll provide the data-centric architectural direction that underpins high-quality engineering delivery, supports governance, and enables data to be used effectively and consistently across the business. What You\’ll Be Doing Defining principles, standards and patterns for how data is structured, modelled and connected. Shaping and maintaining the roadmap for a future-state enterprise data platform. Evaluating and guiding the adoption of modern data architectures (e.g. lakehouse, mesh, fabric). Providing data-focused architectural leadership across programmes, projects and delivery squads. Defining and maintaining conceptual, logical and physical data models. Reviewing engineering designs to ensure alignment with agreed data standards and best practice. Working closely with Data Engineering, Governance and Technology Architecture teams on data-related decisions. Acting as a senior advisor on data architecture, modelling and platform design across the organisation. Experience Required Proven experience in enterprise-scale data architecture and data modelling roles. Strong understanding of modern cloud-based data platforms and services. Solid knowledge of data integration, transformation and modelling patterns. Experience defining future-state data platform strategies within cloud environments (Azure, AWS, Snowflake or similar). Understanding of modern data concepts such as data products and \’data as a product\’. Ability to influence senior stakeholders and collaborate effectively with technology architects. Familiarity with contemporary data engineering tooling (e.g. Snowflake-centric stacks, DBT, Airflow, Fivetran). If you\’d like to learn more, please contact Jacob Ferdinand at
Data Architect employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Architect role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architectures and governance strategies. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've translated complex data needs into actionable solutions and how you’ve collaborated with stakeholders in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with data platforms like Azure or AWS, and showcase your understanding of data modelling approaches. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience in designing data architectures and how you've translated complex concepts for stakeholders. Let us know what excites you about working with us at StudySmarter!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Mention specific tools and frameworks you’ve worked with, like Hadoop or compliance standards like GDPR. We love seeing candidates who can demonstrate their hands-on experience and knowledge in the field.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy – just follow the prompts and let us see your amazing application!
How to prepare for a job interview at Experis
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data modelling approaches like Kimball and Star Schema. Be ready to discuss how you've applied these in past roles, as well as your experience with cloud platforms like Azure or AWS.
✨Speak Their Language
When discussing technical concepts, remember to translate them into clear insights for non-technical stakeholders. Practice explaining complex ideas simply, so everyone can understand the value of your solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous projects. Highlight your ability to design scalable and secure data architectures while ensuring performance and compliance with standards like GDPR.
✨Engage with Stakeholders
Demonstrate your stakeholder management skills by discussing how you’ve partnered with various teams to identify requirements and deliver data-driven solutions. Show that you can build relationships and align data strategies with business goals.
