AI Data Architect DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Location: Erskine, London, Farnborough or Newcastle Candidates are required to be eligible for clearance. 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.

Key Skills & Experience

Bachelor’s degree in Computer Science, Information Systems or related field (or equivalent experience). Previous 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.

Why Join Us

Be part of a cutting‑edge AI community driving digital transformation across the UK&I. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK’s most impactful industries. Collaborative, forward‑thinking environment with continuous learning and development opportunities.

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