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- Tasks: Lead migration projects from legacy platforms to modern cloud data architectures.
- Company: Join a leading consultancy with exciting public-sector projects.
- Benefits: Competitive contract rate, flexible working locations, and professional growth opportunities.
- Other info: Work in a dynamic environment with opportunities for career advancement.
- Why this job: Make a real impact by shaping the future of data architecture in high-profile projects.
- Qualifications: Proven experience in strategic architecture and modern data solutions.
The predicted salary is between 60000 - 80000 £ per year.
Duration - 6 Months (Initial).
Locations - London, Manchester, or Leeds.
Security Clearance - Must be SC Cleared or able to be cleared.
We have recently partnered with a leading consultancy seeking contract Data Architects for several migration projects from legacy platforms to modern cloud data platforms. We are hiring for senior-level Data Architects for high-profile public-sector projects. This is an opportunity to lead technical strategy for large-scale "legacy-to-new" migrations, moving from on-premises environments to modern cloud architectures.
Platform & Technical Focus
- AWS Ecosystem: Implementing solutions using Redshift Spectrum, S3, Glue, and EMR.
- Azure Ecosystem: Leading migrations and deliveries using Databricks and Serverless Synapse.
- Modern Paradigms: Deep application of Lakehouse architectures, focusing on cost-optimisation through strategic data.
- Technical Integration: Awareness of auxiliary areas including Containerisation, Digital Services, and Security.
Required Skills
- Strategic Architecture: Proven experience designing and evolving data solutions that align with long-term strategy and organisational maturity.
- Modern Paradigms: Deep understanding of Data Lakes, Data Mesh, Data Fabric, and Modern Data Warehousing.
- Stakeholder Synergy: Strong interpersonal skills to collaborate with Security, Data Governance, and non-technical teams.
- Technical Translation: Ability to clearly explain complex architectural concepts to non-technical audiences and C‑suite stakeholders.
- Business Alignment: Skilled at identifying and implementing technical solutions that directly solve specific business problems.
- Engineering Fluent: Strong understanding of code with the ability to work effectively alongside Data Engineers and Developers.
- Governance & Security: Comprehensive knowledge of data governance, legal requirements, and data security standards.
- Broad Tech Awareness: Familiarity with adjacent areas such as Containerisation, Digital Services, and cloud security.
Data Architect - contract employer: Animo Group
Contact Detail:
Animo Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - contract
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to cloud data platforms. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific scenarios from your past work. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s the best way to get noticed and land that dream job as a Data Architect!
We think you need these skills to ace Data Architect - contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with cloud platforms like AWS and Azure, and showcase any relevant projects you've led. We want to see how your skills align with our needs!
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 experience makes you the perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in areas like Data Lakes and Data Mesh. We love seeing candidates who can bridge the gap between technical and non-technical teams, so make sure to mention your communication skills too!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Animo Group
✨Know Your Cloud Ecosystems
Make sure you brush up on your knowledge of AWS and Azure ecosystems. Be ready to discuss specific tools like Redshift Spectrum, S3, Databricks, and Serverless Synapse. Showing that you can implement solutions using these platforms will definitely impress the interviewers.
✨Demonstrate Strategic Thinking
Prepare to talk about your experience in designing data solutions that align with long-term strategies. Think of examples where you've led migrations or implemented architectures that have had a significant impact on an organisation's maturity. This will showcase your ability to think strategically.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be working with various teams, practice explaining complex architectural concepts in simple terms. Prepare a few examples where you've successfully communicated technical details to non-technical audiences or C-suite stakeholders. This skill is crucial for collaboration.
✨Showcase Your Governance Knowledge
Familiarise yourself with data governance, legal requirements, and security standards. Be prepared to discuss how you've ensured compliance in past projects. This will demonstrate your comprehensive understanding of the importance of governance in data architecture.