Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines to drive data-driven decisions.
- Company: Welsh-based not-for-profit with a focus on innovative data solutions.
- Benefits: Competitive salary, flexible working, 28 days leave, and free rail travel in Wales.
- Why this job: Join a fast-growing team and make a real impact on digitalisation projects.
- Qualifications: Experience as a Data Architect and knowledge of Azure services and programming languages.
- Other info: Opportunity for career progression and leadership roles in a dynamic environment.
The predicted salary is between 52000 - 76000 £ per year.
IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client on an exclusive growth project. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first members in this area of the business which will work with external partners to build out the organisation's data capability offering.
As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platforms that enable them to make data-driven decisions at an enterprise level. Working closely with the ‘Head of Data Engineering’, you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suits the individual's desires and capabilities.
Essential Skills
- Proven experience as a Data Architect (or similar/related role)
- Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.
- Experience with Big Data
- Experience with Enterprise level Data sets
- Experience of using programming languages such as Python, Scala and SQL
- Ability to lead and mentor other team members
- Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure.
- Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud-based architectures.
- Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery.
- Robust understanding of data governance, data quality, and metadata management.
Key Responsibilities (at a glance):
- Establish Data strategies and data modelling internally within the data estate
- Work closely with other business leaders to maintain governance and compliance within their data estate.
- Research into emerging technologies and upcoming trends
- Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls.
- Design, implement, and optimise physical data models that align with pipeline architecture, ensuring efficient query performance, scalable storage, and robust integration.
- Work closely with data analysts, engineers and solution architects through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.
- Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information.
- Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs.
What you’ll get in return (at a glance)
- A salary of circa £62,000 - £68,000 (depending on experience)
- 28 days annual leave + public bank holidays
- A flexible working environment
- Competitive Legal and General pension Scheme (8% contribution)
- 4 x Death in service
- The opportunity to work on modern and industry changing projects
- Progression and development opportunities
- Free Rail travel throughout Wales
- Salary sacrifice scheme such as – cycle to work, electric vehicle
- To be based in their brand new, modern offices 2 days per week
- A chance to truly contribute to large scale digitalisation projects within Wales
For more information click APPLY now or for a confidential chat call Nathan Handley.
This role is commutable from Swansea, Bridgend, Cardiff and Newport.
Data Architect in Cardiff employer: IntaPeople Limited
Contact Detail:
IntaPeople Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving Azure Data Factory or Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Think about how you've tackled challenges in previous roles, especially around data governance and quality management, and be ready to share those stories.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Data Architect in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure Data Factory, Databricks, and any relevant programming languages like Python or SQL. We want to see how your skills match 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 your previous experiences have prepared you for this role. Let us know what excites you about working with our data team.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's designing data pipelines or implementing data governance practices, we love to see real-world examples of your work that demonstrate your capabilities.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at IntaPeople Limited
✨Know Your Data Tools
Make sure you brush up on your experience with Azure Data Factory, Databricks, and Apache Spark. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL/ELT principles. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this role has potential for leadership, think about examples where you've led a team or mentored others. Prepare to share specific instances where your guidance made a difference, especially in data governance or project delivery. This will highlight your readiness for growth within the company.
✨Understand the Business Needs
Research the not-for-profit sector and understand how data can drive decisions in this space. Be prepared to discuss how your data strategies can align with their mission and objectives. This shows that you’re not just a techie but also someone who understands the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle conflicting stakeholder priorities or implement data management practices. Think through some scenarios in advance and how you would approach them. This will demonstrate your problem-solving skills and ability to navigate complex situations.
