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- Tasks: Design and implement robust data architecture to support Karbon’s data needs.
- Company: Join Karbon, a forward-thinking company focused on digital transformation and customer-centric solutions.
- Benefits: Enjoy flexible working, 26-31 days annual leave, birthday leave, and qualification funding.
- Why this job: Be part of a dynamic team shaping the future of data technology with a strong focus on innovation.
- Qualifications: Proven experience as a Data Architect with expertise in data modelling and SQL technologies.
- Other info: We welcome applications from all backgrounds and offer support for candidates with disabilities.
The predicted salary is between 52000 - 78000 £ per year.
Come and make a difference at Karbon as a Data Architect. We are looking to appoint a suitably qualified and experienced individual for the role of Data Architect in the ICT & Digital Transformation Team. The ICT & Digital Transformation team mission is to provide digital systems that are customer focused, easy to use, reliable, flexible, and meet the needs of all our stakeholders.
About the role: The successful candidate will work in the newly formed Data Engineering team within the wider ICT & Digital Transformation department. You will play a critical role in designing and implementing robust data architecture that will support Karbon’s data needs. You will lead the team of Data Engineers and work closely with the Data Analytics and Reporting and wider business teams to help design, develop, and implement data principles and standards across the organisation.
About you: We are ideally looking for someone with proven experience as a Data Architect or similar role with a deep understanding of data architecture principles and methods, data policies, processes and standards and expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. You will bring experience of concepts and principles of data modelling and experience of producing, maintaining and updating data models. A working knowledge of at least one of the following SQL, Microsoft Synapse or Fabric and Microsoft Purview. As well as experience working with data modelling, meta data management, data warehousing, data cleansing and a passion for current and emerging data technologies such as predictive analytics, data visualisation, SQL databases and AI.
About our team: The successful candidate will work in the Data Engineering team and work closely with the Data Analytics and Reporting team within the Strategy, Place & Insight department.
Key Information: It’s important to us that everyone feels fairly rewarded for the work they do. We offer a competitive and comprehensive benefits package that supports the wellbeing of our people. Data Architect – permanent role. Salary is £65,000 per annum. Contractual Location to be agreed with the candidate at one of our main offices in Gosforth or Stanley, although we work flexibly. Regular travel will be required. 37 Hours per week with some homeworking available/flexible working.
We recognise the contribution people with criminal records can make as colleagues and we welcome all applications. A criminal record will not exclude a candidate from being appointed because of offences that are irrelevant to, and do not place them at, or make them a risk in the role they’re applying for. The role you're applying for is covered by the Rehabilitation of Offenders Act 1974 (ROA). The successful candidate(s) will be asked to submit a basic disclosure and barring check application during pre-employment checks.
Enjoy great benefits: We provide a generous benefits package including 26 days annual leave on commencement rising to 31 days after 3 years’ service, birthday leave, occupational pension and a health cash plan, with the option of a flexible pot towards enhanced benefits. We also provide our colleagues with the opportunity to apply for qualification funding on a range of courses, conferences, and other learning events.
If this sounds like the role for you then please apply through the Karbon Homes website.
Important dates: Closing date for applications Sunday 30 March 2025. We reserve the right to close this advertisement early if we receive a high volume of suitable applications. Please apply early to ensure you are considered for the post. Interview date Week commencing 7 April 2025.
We are committed to equality and diversity and are an inclusive employer. We welcome applications from people of all ages, disability/non-disability, ethnicities, genders, religions, sexualities, transgender status, and cultural backgrounds. Any candidate with a disability who meets the essential criteria for the post will be guaranteed an interview. If you need a reasonable adjustment to apply for any of our career opportunities, then please contact.
Data Architect employer: Housing Diversity Network
Contact Detail:
Housing Diversity Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the specific data architecture principles and methods mentioned in the job description. This will not only help you understand the role better but also allow you to speak confidently about how your experience aligns with their needs during the interview.
✨Tip Number 2
Make sure to highlight any experience you have with SQL, Microsoft Synapse or Fabric, and Microsoft Purview. These are key technologies for the role, so being able to discuss your proficiency with them will set you apart from other candidates.
✨Tip Number 3
Connect with current employees on LinkedIn or other professional networks to gain insights into the company culture and the Data Engineering team. This can provide you with valuable information that you can use to tailor your responses during the interview.
✨Tip Number 4
Prepare to discuss your approach to leading a team of Data Engineers. Since this role involves leadership, showcasing your management style and how you foster collaboration and innovation within a team will be crucial in the interview process.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Architect position. Understand the key responsibilities and required skills, such as data architecture principles, SQL knowledge, and experience with data modelling.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the requirements of the Data Architect role. Emphasise your expertise in designing data platforms, data lakes, and your familiarity with tools like Microsoft Synapse or Fabric.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data technologies and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to lead a team and implement robust data architecture.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Housing Diversity Network
✨Understand Data Architecture Principles
Make sure you have a solid grasp of data architecture principles and methods. Be prepared to discuss your experience in designing data platforms, data lakes, and warehouses, as well as how you've implemented data standards in previous roles.
✨Showcase Your Technical Skills
Highlight your expertise in SQL, Microsoft Synapse or Fabric, and Microsoft Purview. Be ready to provide examples of how you've used these technologies in past projects, especially in relation to data modelling and management.
✨Demonstrate Leadership Experience
As you'll be leading a team of Data Engineers, it's crucial to showcase your leadership skills. Prepare to discuss your approach to team management, collaboration with other departments, and how you've successfully led projects in the past.
✨Stay Updated on Emerging Technologies
Express your passion for current and emerging data technologies, such as predictive analytics and data visualisation. Be ready to discuss how you've integrated new technologies into your work and how they can benefit the organisation.
