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- Tasks: Shape and model data architecture for a leading organisation's enterprise data landscape.
- Company: Join a well-established organisation committed to modernising their data approach.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on data strategy and governance in a dynamic environment.
- Qualifications: Experience in enterprise data architecture and cloud platforms like Azure or AWS.
- Other info: Collaborate with diverse teams and influence key data decisions.
The predicted salary is between 36000 - 60000 £ per year.
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 will 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 Will 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 would like to learn more, please contact Jacob Ferdinand.
Data Architect in Nottingham employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on a Data Architect role or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving cloud-based data platforms. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data architecture. Be ready to discuss modern concepts like data products and how you've applied them in your previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Architect in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, cloud platforms, and any relevant projects you've worked on. 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 passionate about data architecture and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your familiarity with tools like Snowflake, DBT, or Airflow, and how you've used them in past roles. We love seeing practical examples of your expertise!
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 Experis
✨Know Your Data Architecture
Make sure you brush up on your knowledge of data architecture principles and modern cloud-based platforms. Be ready to discuss specific examples from your past experience that demonstrate your understanding of data modelling and integration patterns.
✨Showcase Your Leadership Skills
As a Data Architect, you'll be expected to provide architectural leadership. Prepare to share instances where you've influenced stakeholders or led teams in adopting new data strategies. Highlight your ability to collaborate with technology architects and other teams.
✨Familiarise Yourself with Tools
Get comfortable with contemporary data engineering tools like Snowflake, DBT, and Airflow. If you have experience with these, be ready to discuss how you've used them in previous roles to enhance data processes and governance.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in defining data standards or maintaining data models, and how you approached those challenges effectively.
