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- Tasks: Design and evolve the global data landscape while leading data architecture initiatives.
- Company: Join a leading multinational with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to influence major projects and collaborate across teams.
- Why this job: Be a key player in shaping data strategies that drive impactful projects.
- Qualifications: Proven experience in Data Architecture and expertise in Azure Data Services.
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 employer: Fusion People
Contact Detail:
Fusion People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IT Data Architect
✨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, data models, and any relevant work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data architecture. Be ready to discuss how you've tackled challenges in past roles and how you can contribute to their data landscape.
✨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 shows you're genuinely interested in joining our team.
We think you need these skills to ace IT Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Azure Data Services and data architecture, as these are key for us. Use specific examples that showcase your skills in data modelling and integration.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data architecture and how you can drive our global data landscape forward. Be sure to mention your experience in corporate functions and any relevant certifications.
Showcase Your Technical Skills: We want to see your technical prowess! Include details about your experience with data pipelines, ETL/ELT processes, and any tools like Power BI or Tableau. This will help us understand how you can provide technical leadership across our data platforms.
Apply Through Our Website: Don’t forget to apply 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 us you’re keen on joining our team at StudySmarter!
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 in relation to Azure Data Services. Brush up on your knowledge of data modelling, integration patterns, and governance frameworks. Being able to discuss these topics confidently will show that you’re not just a solution designer but a true Data Architect.
✨Prepare Thoughtful Questions
During the interview, don’t hesitate to ask insightful questions about the company’s data landscape and challenges. This demonstrates your understanding of the role and shows that you’re genuinely interested in how you can contribute. Think about what you need to know to drive the data architecture roadmap effectively.
✨Showcase Your Technical Leadership
Be ready to discuss examples where you’ve provided technical leadership in previous roles. Highlight your experience with data platforms, pipelines, and analytics capabilities. Sharing specific instances where you’ve championed data architecture will help illustrate your ability to bridge gaps between teams.
✨Familiarise Yourself with the Tools
Since the role involves working with various tools like Power BI, Azure SQL, and ETL/ELT processes, make sure you’re familiar with them. If you have experience with enterprise architecture tools like LeanIX or Ardoq, be prepared to talk about how you’ve used them to enhance data governance and integration.