At a Glance
- Tasks: Design and implement Microsoft Fabric solutions for enterprise clients, driving data innovation.
- Company: Join a global tech leader committed to diversity and inclusion.
- Benefits: Flexible work options, continuous learning, and tailored wellbeing support.
- Other info: Be part of an inclusive culture that values growth, collaboration, and innovation.
- Why this job: Make a real impact in data modernisation while collaborating with brilliant minds.
- Qualifications: 7-10 years in data architecture with expertise in Microsoft Fabric and cloud ecosystems.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking an accomplished and highly skilled Microsoft Fabric Solution Architect to join our Data Practice. The successful candidate will bring deep expertise in designing and implementing Microsoft Fabric on cloud data platforms that are scalable, secure, and business-aligned. This individual will play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Microsoft Fabric's capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Microsoft Fabric strategies, design robust architectures, and implement best practices. You will thrive in a fast-evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain at the forefront of data innovation.
Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
- Collaboration & Leadership
- Business Relationships
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Proven expertise in:
- Designing and implementing Microsoft Fabric architectures for enterprise clients.
- Strong consulting values with the ability to interface effectively with senior stakeholders.
- Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.
- Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).
- Ability to link business objectives with technology strategy and execution.
- Strong problem-solving, analytical, and communication skills.
- Experience leading data modernisation initiatives across multiple sectors (e.g., banking, insurance, telecom, public sector, manufacturing, retail).
Technical Expertise
- Extensive experience with Microsoft Fabric core features.
- Proficiency in cloud ecosystems (Specifically Azure, optionally AWS and GCP are an advantage) and infrastructure-as-code (e.g., Terraform).
- Strong background in databases, data warehouses, and distributed processing frameworks.
- Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).
- Experience with data security, governance, and compliance frameworks.
- Expertise in large-scale ETL/ELT pipeline implementation using custom and packaged tools.
Experience: Minimum 7-10 years in data architecture, engineering, or consulting roles, with 1-2 years in Microsoft Fabric solution architecture.
Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Microsoft Fabric certification(s) strongly desirable.
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day. At NTT DATA UK, we are proud to support and invest in our people. We offer a variety of rewarding career paths and opportunities to develop professionally - with access to cutting edge innovation.
MS Fabric Data Architect employer: NTT DATA UK Ltd.
NTT DATA UK Ltd. is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Public Sector team in London. Employees benefit from extensive professional development opportunities, a commitment to work-life balance, and the chance to make a meaningful impact on digital transformation for UK Government clients. With a focus on mentorship and hands-on involvement, this role provides a unique platform for growth in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land MS Fabric Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NTT DATA UK Ltd.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like MS Fabric Data Architect at NTT DATA UK Ltd..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NTT DATA UK Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like MS Fabric Data Architect at NTT DATA UK Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace MS Fabric Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NTT DATA UK Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT DATA UK Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT DATA UK Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT DATA UK Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.