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- Tasks: Shape data strategy and architecture for impactful transformation programmes.
- Company: Leading global consultancy with a focus on innovation and collaboration.
- Benefits: Highly competitive salary, career development, and exposure to cutting-edge technologies.
- Other info: Join a dynamic team with clear progression pathways and a collaborative culture.
- Why this job: Make a real impact on high-profile projects while advancing your career.
- Qualifications: Experience as a Data Architect and strong software engineering background.
The predicted salary is between 60000 - 80000 £ per year.
Im working with a leading global consultancy who are looking to bring in an experienced Data Architect to join their growing team, delivering large-scale transformation programmes across both public and private sector clients. This is a fantastic opportunity to play a key role in shaping data strategy and architecture for high-profile, complex programmes with real-world impact.
What youll be doing:
- Defining end-to-end data architecture across enterprise-level programmes
- Shaping data strategy, including migration, integration, and modelling approaches
- Designing scalable data solutions across distributed and microservices-based systems
- Working closely with stakeholders to understand existing systems and define future-state architecture
- Producing architecture standards, frameworks, and governance models
- Supporting delivery teams and ensuring alignment to architectural principles
- Leading, mentoring, and developing other engineers and architects
What were looking for:
- Strong experience as a Data Architect within complex environments
- Background in software engineering (Java, Scala, or Python preferred)
- Experience with Big Data technologies and distributed data platforms
- Strong knowledge of Microsoft Azure and cloud-based data solutions
- Experience designing for both structured and unstructured data
- Solid understanding of microservices architecture and REST-based systems
- Strong data modelling experience
Key strengths:
- Ability to communicate complex technical ideas to non-technical stakeholders
- Strong analytical and problem-solving skills
- Experience working closely with clients or external stakeholders
- Comfortable operating across both strategy and hands-on delivery
Important to note: Due to the nature of the work, candidates must be eligible for UK security clearance (typically requiring 5 years continuous UK residency and sole British nationality at application stage).
Why consider this role?
- Work on high-impact, nationally significant programmes
- Join a collaborative, innovation-driven consultancy environment
- Clear progression pathways and strong investment in career development
- Exposure to cutting-edge data and cloud technologies
If youre a Data Architect looking to step into a role with real impact and variety, please apply with your latest CV.
Data Architect in Slough employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on a Data Architect role that’s not even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architecture and cloud solutions. This will give potential employers a taste 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 explain complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Data Architect in Slough
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 technologies, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your experience with Big Data technologies, Microsoft Azure, and programming languages like Java, Scala, or Python. This is your chance to shine, so let us know what you can bring to the table.
Communicate Clearly: Remember, we value the ability to communicate complex ideas simply. When writing your application, use clear language and avoid jargon where possible. Show us that you can bridge the gap between technical and non-technical stakeholders.
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 out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data architecture trends and technologies, especially those mentioned in the job description like Microsoft Azure and Big Data platforms. Brush up on your knowledge of microservices and REST-based systems, as you’ll likely be asked to discuss how these apply to real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in previous roles. Think about times when you had to communicate technical concepts to non-technical stakeholders and how you ensured everyone was on the same page. This will demonstrate your analytical skills and ability to bridge the gap between tech and business.
✨Engage with Stakeholders
Since the role involves working closely with clients and stakeholders, practice how you would approach understanding their needs. Be ready to discuss how you’ve previously gathered requirements and shaped data strategies based on stakeholder input. This shows you can operate effectively in both strategic and hands-on capacities.
✨Prepare for Technical Questions
Expect to dive deep into your technical expertise during the interview. Review key concepts in data modelling and architecture standards, and be prepared to explain your design choices for scalable data solutions. Practising common technical interview questions can help you articulate your thought process clearly.