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- Tasks: Design and implement AI-ready data foundations for innovative projects.
- Company: Join DXC Technology, a Fortune 500 leader in IT services.
- Benefits: Flexible work model, competitive salary, and career growth opportunities.
- Why this job: Shape the future of AI with cutting-edge technology and impactful projects.
- Qualifications: Experience in data architecture and strong collaboration skills required.
- Other info: Inclusive culture that values innovation and personal development.
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 inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer’s entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Job Summary
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.
Required Qualifications
- 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.
Preferred Experience
- 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.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process.
AI Data Architect in Newcastle upon Tyne employer: DXC Technology Inc.
Contact Detail:
DXC Technology Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Architect in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI data architecture. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Data Architect in Newcastle upon Tyne
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, storage architectures, and any relevant projects you've worked on. 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 work that demonstrate your expertise and how you can contribute to our team at DXC.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with ETL/ELT pipelines, cloud platforms, and any tools you’ve used for data governance. We love seeing candidates who are hands-on and ready to dive into the tech!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at DXC Technology Inc.
✨Know Your Data Models
As an AI Data Architect, you'll be expected to design and maintain various data models. Brush up on your knowledge of relational, graph, and time-series models before the interview. Be ready to discuss how you've applied these in past projects.
✨Showcase Your Pipeline Experience
Make sure you can talk about your hands-on experience with ETL/ELT pipelines. Prepare specific examples of how you've built and managed these pipelines using Python or SQL, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Cloud Environments
Since the role involves working with cloud-based data platforms, it's crucial to demonstrate your familiarity with modern data architectures. Research the latest trends in cloud storage solutions and be prepared to discuss how you've implemented them in your previous roles.
✨Communicate Effectively
Strong communication skills are key for collaboration with data, ML, and analytics teams. Practice articulating your thoughts clearly and concisely. Consider preparing a few questions to ask the interviewers about their team dynamics and collaboration processes.
