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- Tasks: Design and evolve global data architecture, ensuring alignment with enterprise strategy.
- Company: Leading multinational company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on bridging gaps between teams.
- Why this job: Be a key player in shaping the future of data architecture and drive impactful projects.
- Qualifications: Experience in Data Architecture, especially with Azure Data Services and data integration patterns.
The predicted salary is between 70000 - 90000 £ per year.
My client, a leading multinational, is looking for a Data Architect to play a critical role in designing and evolving the global data landscape. We need a true Data Architect, not a Solution Designer or Engineer, but a Data Architect who knows how to ask the right questions, who understands ‘What is needed’, ‘Why it is needed’ and can produce the building blocks for the Solution Designers to bring to life and bring people on the journey.
You will report to the Head of Data and be responsible for the following:
- Drive and evolve the global Data Architecture roadmap in alignment with Enterprise and Data Architecture strategy.
- Own the enterprise data model and establish data architecture patterns and standards for data modelling, integration, storage, and governance.
- Provide technical leadership across data platforms, pipelines, and analytics capabilities.
- Partner with data security and data governance to define frameworks, data classification, privacy, data governance ownership, stewardship.
- Be the senior voice on data design decisions across major projects.
- Champion data architecture and bring the organisation on the journey bridging gaps between different teams across Data Governance, Platforms and Product capabilities.
Skills & Experience
- Experience of Data Architecture across Corporate Functions (IT, HR, Finance, Legal).
- Essential experience in Azure Data Services to design target architecture for data platforms including Azure Data Lake, Synapse Analytics, Databricks, Data Factory, Azure Service Bus, Azure SQL and APIs.
- Essential experience in architecting data pipelines and data integration patterns, ETL/ELT processes, and real-time streaming architectures.
- Master Data Management (e.g. Informatica, Profisee, SAP).
- AI data requirements would be beneficial as well as experience on Microsoft stack including Copilot.
- Data modelling and dimensional modelling.
- Experienced in BI / Analytics tools (Power BI, Tableau).
- Data integration patterns such as APIs, messaging (Service Bus), and ETL/ELT.
- Enterprise Architecture tools e.g. LeanIX, Ardoq.
- TOGAF and Azure Certification (strong nice to have).
IT Data Architect in Slough employer: Fusion People
Contact Detail:
Fusion People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IT Data Architect in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, 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
Showcase your expertise! Create a portfolio or a personal website where you can display your projects, especially those involving Azure Data Services and data architecture. 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 discuss your experience with data modelling, integration patterns, and how you've championed data architecture in past roles.
✨Tip Number 4
Don't forget to apply through our website! We have a range of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace IT 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 Azure Data Services and data architecture specifically, as this is what we’re looking for. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data architecture and how your skills align with our needs. Don’t forget to mention any experience you have with data governance and integration patterns.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. We want to see how you’ve driven data architecture initiatives and collaborated across teams. Real-world examples can really make your application stand out!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll get to see more about our company culture while you’re there!
How to prepare for a job interview at Fusion People
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially as they relate to corporate functions like IT and HR. Brush up on your knowledge of Azure Data Services and be ready to discuss how you've used tools like Azure Data Lake and Synapse Analytics in past projects.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data pipelines, ETL/ELT processes, and real-time streaming architectures. We recommend practising your responses to common technical questions and scenarios that might come up during the interview.
✨Showcase Your Leadership Skills
As a Data Architect, you’ll need to demonstrate your ability to lead and influence others. Be prepared to share examples of how you’ve championed data architecture initiatives and bridged gaps between teams in previous roles.
✨Understand the Bigger Picture
It’s crucial to grasp not just the 'how' but also the 'why' behind data architecture decisions. Familiarise yourself with the company’s data governance frameworks and be ready to discuss how you can align the data architecture roadmap with their overall enterprise strategy.