Enterprise Data Architect

We are looking for client-facing Enterprise Data Architects to join our growing Enterprise AI practice.

You will help clients transform fragmented data estates into AI-ready foundations, advising on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns.

Typical outputs may include target-state architectures, maturity assessments, platform option appraisals, data product designs, governance models, lineage maps, ontology and semantic models, integration patterns, GenAI data-readiness assessments and implementation roadmaps.

Requirements

• Design AI-ready enterprise data architectures that enable analytics, AI, ML, GenAI and agentic applications to consume data accurately, securely and with appropriate business context.
• Assess clients’ existing data estates, diagnose structural, governance, semantic and quality issues, and design pragmatic modernisation roadmaps.
• Advise clients on architecture and platform choices, helping them navigate trade-offs between lakehouses, warehouses, data fabrics, graph databases, semantic layers, vector search and hybrid architectures.
• Define data governance and metadata patterns covering ownership, stewardship, quality, lineage, cataloguing, access control and data lifecycle management.
• Design data products, data contracts and information models that make enterprise data reusable across analytics, AI, GenAI and operational workflows.
• Shape semantic layers, ontologies and knowledge graph patterns where these improve data discoverability, interoperability, explainability or AI consumption.
• Oversee high-level design of ingestion, integration and transformation patterns, including batch, event-driven and real-time architectures.
• Identify and mitigate data-related risks, including poor data quality, weak provenance, data leakage, inappropriate access, retrieval failure and inference-time use of enterprise knowledge.
• Act as a trusted advisor to client stakeholders, translating technical architecture concepts into clear business outcomes, options and risks.
• Contribute to proposals, client conversations, internal methods and thought leadership on enterprise data architecture and AI-ready data foundations.

Skills and Qualifications:

Essential Skills:

• 5–10+ years, depending on level, in data architecture, enterprise architecture, solution architecture or senior data engineering roles.
• Demonstrable experience designing modern data architectures for analytics, AI, ML or GenAI consumption.
• Strong understanding of enterprise data architecture patterns, including cloud data platforms, lakehouses, warehouses, data integration, data modelling and metadata management.
• Experience contributing to or leading data governance initiatives, including catalogues, lineage, ownership, stewardship, data quality and metadata management.
• Practical understanding of semantic layers, ontologies or knowledge graph concepts, with hands-on experience in at least one of these areas.
• Deep experience with at least one major cloud data platform, such as AWS, Azure or Google Cloud, and familiarity with leading lakehouse or warehouse technologies.
• Understanding of how data architecture decisions affect AI and GenAI outcomes, including data quality, provenance, context, retrieval, security, privacy and semantic consistency.
• Familiarity with GenAI data patterns such as retrieval-augmented generation, vector search, embedding pipelines, chunking strategies or enterprise search.
• Strong stakeholder management and communication skills, with the ability to present complex technical trade-offs clearly to non-technical sponsors and senior executives.
• Excellent written and verbal communication skills in English.
• Bachelor’s degree or equivalent experience; quantitative, technical or analytical disciplines are an advantage.
• Willingness to travel, up to around 60% depending on project requirements, across the UK and internationally.

Benefits

Infosys offers industry-leading compensation and benefits, along with top training and development opportunities.