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- Tasks: Design and implement AI-ready data foundations for transformative projects.
- Company: Join DXC Technology, a Fortune 500 leader in global IT services.
- Benefits: Competitive salary, career growth, and a culture that embraces innovation.
- Why this job: Shape the future of AI with cutting-edge data architecture.
- Qualifications: Bachelor's degree and 3-5 years in data architecture or engineering.
- Other info: Collaborative environment with opportunities to work on advanced analytics.
The predicted salary is between 36000 - 60000 £ per year.
DXC Technology is a Fortune 500 Global IT Services Leader. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses.
We are seeking an AI Data Architect to design and implement AI‐ready data foundations. You will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well‐structured, accessible, secure, and scalable for AI use cases.
Key Responsibilities- Design and maintain data models and schemas (relational, graph, time‐series) aligned to AI and business needs.
- Define scalable data storage architectures across databases, data lakes, and warehouses in cloud environments.
- Build and oversee ETL/ELT pipelines to integrate batch and streaming data from multiple sources.
- Establish data governance, quality, security, privacy, and compliance standards.
- Implement metadata management and data lineage for transparency and traceability.
- Collaborate with data, ML, and analytics teams to deliver AI‐ready datasets and features.
- Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth.
- Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience).
- 3–5 years of experience in data architecture, data engineering, or similar roles.
- Strong data modelling and database design skills (SQL, relational, and NoSQL databases).
- Hands‐on experience building and managing data pipelines (ETL/ELT) using Python, SQL, or related tools.
- Experience with cloud‐based data platforms and modern data architectures.
- Solid understanding of data governance, quality management, security, and privacy.
- Strong communication skills and ability to collaborate across technical teams.
- Experience supporting AI/ML or advanced analytics projects.
- Familiarity with data catalogues, governance, and lineage tools (e.g. Collibra, Alation, Atlas).
- Exposure to ontologies, semantic modelling, or knowledge graphs.
- Experience with modern architectures (lakehouse, data mesh, streaming/event‐driven systems).
- Relevant cloud or data architecture certifications.
AI Data Architect in London employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, pipelines, and any AI projects you've worked on. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process and how you tackle challenges, especially those related to AI and data governance.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us at DXC Technology. It shows initiative and enthusiasm!
We think you need these skills to ace AI Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Architect role. Highlight your experience with data models, pipelines, and governance frameworks. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data architecture. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills! Mention your experience with SQL, Python, and cloud-based platforms. We love seeing hands-on experience with data pipelines and modern architectures.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get you on board!
How to prepare for a job interview at DXC Technology
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss different types of data models like relational, graph, and time-series, and how they apply to AI use cases. This will show that you understand the core responsibilities of the AI Data Architect role.
✨Showcase Your Pipeline Experience
Prepare to talk about your hands-on experience with ETL/ELT pipelines. Have specific examples ready where you've built or managed these pipelines using tools like Python or SQL. This will demonstrate your practical knowledge and ability to handle the technical aspects of the job.
✨Understand Cloud Environments
Since the role involves working with cloud-based data platforms, make sure you’re familiar with modern data architectures. Brush up on your knowledge of data lakes, warehouses, and any relevant cloud services. Being able to discuss these topics will highlight your readiness for the position.
✨Communicate Effectively
Strong communication skills are key in this role, especially when collaborating with data engineers and ML teams. Practice explaining complex concepts in simple terms, as this will help you convey your ideas clearly during the interview. It’s all about showing that you can work well with others!
