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- Tasks: Shape enterprise data architecture and design scalable data solutions for a major government programme.
- Company: Join a diverse and inclusive team dedicated to delivering top-notch data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on data governance and analytics in a regulated environment.
- Qualifications: Experience as a Data Architect with strong data modelling and cloud platform skills.
- Other info: Embrace a dynamic work culture that values respect and equality.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking an experienced Data Architect to support a Central Government department on a major data and analytics programme. This role suits someone with deep data modelling expertise and a strong background designing scalable, well-governed data platforms within complex or regulated environments.
The Role
You will play a pivotal role in defining and shaping enterprise data architecture, ensuring data solutions are robust, scalable, and aligned with both business and regulatory requirements. You will work closely with delivery teams, architects, and senior stakeholders to drive best practice across data platforms.
Key Responsibilities Include:
- Designing and owning conceptual, logical, and physical data models
- Defining and evolving data warehouse and data lake architectures
- Providing architectural leadership across relational and NoSQL databases
- Advising on data integration patterns, including ETL/ELT and streaming architectures
- Supporting cloud-based data platforms across AWS, Azure, and/or GCP
- Embedding data governance, metadata management, and master data principles
- Translating business requirements into clear, scalable data designs
- Ensuring architectures meet security, compliance, and government standards
About You
Essential Experience:
- Proven experience as a Data Architect, Senior Data Engineer, or Data Modeller
- Strong expertise in data modelling (conceptual, logical, and physical)
- Demonstrable experience designing data warehouses and data lake architectures
- Advanced SQL skills and strong understanding of relational and NoSQL databases
- Experience with cloud data platforms (AWS, Azure, and/or GCP)
- Knowledge of ETL/ELT, data integration, and streaming architectures
- Solid understanding of data governance, metadata, and master data management
- Excellent communication skills, able to engage technical and non-technical stakeholders
Nice to Have:
- Experience with modern analytics and BI platforms
- Knowledge of big data technologies (e.g. Spark, Hadoop)
- Experience with real-time or event-driven architectures
- Familiarity with data cataloguing and lineage tools
- Experience working in regulated or data-sensitive environments
- Relevant certifications (e.g. TOGAF, cloud data certifications)
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Architect - SC Cleared employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - SC Cleared
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and architectures. 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 your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and data governance, as these are key areas for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Architect - SC Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling and cloud platforms like AWS or Azure, as these are key for us. Use specific examples that showcase your skills in designing scalable data solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data architecture and how your background aligns with our needs. Don’t forget to mention any relevant projects or achievements that demonstrate your expertise.
Showcase Your Communication Skills: As a Data Architect, you'll need to engage with both technical and non-technical stakeholders. In your application, highlight instances where you've successfully communicated complex ideas clearly. This will show us you can bridge the gap between tech and business.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss conceptual, logical, and physical data models in detail, as well as how you've applied them in past projects. This will show that you have the expertise needed for the role.
✨Showcase Your Cloud Experience
Since the role involves cloud-based data platforms, be prepared to talk about your experience with AWS, Azure, or GCP. Highlight specific projects where you’ve designed or supported data architectures in these environments, and mention any challenges you faced and how you overcame them.
✨Communicate Clearly
You’ll need to engage with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of examples from your past where you successfully communicated data solutions to diverse audiences, as this will demonstrate your excellent communication skills.
✨Understand Governance and Compliance
Familiarise yourself with data governance principles and compliance standards relevant to the role. Be ready to discuss how you’ve embedded these principles in your previous work, as this is crucial for ensuring that data solutions meet security and regulatory requirements.
