At a Glance
- Tasks: Design and implement cutting-edge data architecture solutions on Azure.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
- Why this job: Shape the future of data platforms and drive impactful cloud transformations.
- Qualifications: Experience in Azure Data Services and strong data architecture skills required.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a highly skilled Data Architect with strong expertise in Azure Data Services, Microsoft Fabric, and Data & BI solutions to design, implement, and optimize modern enterprise data platforms. The ideal candidate will have deep experience in building scalable data architectures, enabling advanced analytics, and driving cloud-based data transformation initiatives.
Key Responsibilities:
- Design and implement enterprise-scale data architecture solutions on Microsoft Azure and Microsoft Fabric.
- Build scalable and secure data platforms supporting Data Engineering, Data Warehousing, Reporting, and Analytics.
- Define data models, data integration strategies, governance frameworks, and best practices.
- Lead the design and implementation of modern BI and analytics solutions using Power BI and Microsoft Fabric.
- Develop and optimize ETL/ELT pipelines using Azure Data Factory, Fabric Dataflows, Synapse, and related Azure services.
- Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into technical solutions.
- Ensure data quality, security, scalability, performance optimization, and compliance standards across the platform.
- Drive cloud modernization and migration initiatives from legacy/on-premise systems to Azure-based ecosystems.
- Provide technical leadership, mentoring, and architectural guidance to Data Engineering and BI teams.
- Support advanced analytics, AI/ML readiness, and real-time reporting initiatives.
Required Skills & Qualifications:
- Strong experience as a Data Architect within enterprise Data & BI environments.
- Strong hands-on experience in Microsoft Azure Data Services, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Power BI, Azure Data Lake, SQL Server/Azure SQL, along with expertise in designing and implementing Data Warehousing, Lakehouse, ETL/ELT, and cloud-native data architectures.
- Strong understanding of Data Engineering, Analytics, Reporting, and BI frameworks.
- Experience working with structured and unstructured data sources.
- Strong knowledge of data governance, security, scalability, and performance optimization.
- Ability to drive architecture discussions and provide strategic technical recommendations.
- Strong stakeholder management and consulting skills.
Data Architect - Azure in London employer: AbsoluteLabs
Join a forward-thinking company that values innovation and collaboration, where as a Data Architect - Azure, you will play a pivotal role in shaping enterprise data solutions. Our inclusive work culture fosters continuous learning and professional growth, offering you the opportunity to lead transformative cloud initiatives while working alongside talented teams in a dynamic environment. Located in a vibrant area, we provide competitive benefits and a supportive atmosphere that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Azure in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Data Architect gig.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in Azure Data Services and BI solutions. This is your chance to shine and demonstrate your expertise in building scalable data architectures!
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to data architecture and Azure services. Practice explaining your past projects and how you've tackled challenges in data transformation initiatives.
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying directly through us not only gives you a better shot but also keeps you in the loop about any updates or opportunities that come up!
We think you need these skills to ace Data Architect - Azure in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Services and Microsoft Fabric. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
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 background makes you the perfect fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Your Technical Skills:Be specific about your hands-on experience with tools like Azure Data Factory, Power BI, and Synapse Analytics. We’re looking for candidates who can demonstrate their technical prowess, so don’t hold back on the details!
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 awesome team at StudySmarter!
How to prepare for a job interview at AbsoluteLabs
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Services and Microsoft Fabric. Be ready to discuss specific projects where you've designed or implemented data architectures using these tools. Highlight your hands-on experience with Azure Data Factory and Synapse Analytics, as these will be key in the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data architecture. Think about times when you had to optimise ETL/ELT pipelines or ensure data quality and security. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Understand Business Needs
Since collaboration with business stakeholders is crucial, be ready to discuss how you've translated business requirements into technical solutions in the past. Show that you can bridge the gap between technical and non-technical teams, making it clear that you understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
