Enterprise Data Architect

🕒 July 8

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Infosys

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1981

🏢 Enterprise

💼 Consulting

🤖 Artificial Intelligence

💰 $200M Post-IPO Equity on 2008-07

Enterprise • Consulting • Artificial Intelligence

Infosys is a global leader in next-generation digital services and consulting, providing a wide range of solutions to enterprises across various industries. With expertise in AI, cloud computing, application development, and business process management, Infosys drives digital transformation for its clients, helping them navigate their digital journey with innovative offerings. The company collaborates with numerous partners to enhance business operations and has a significant presence in over 56 countries. It also focuses on developing new-age solutions in areas like blockchain, IoT, and generative AI to deliver value to businesses worldwide.

📋 Description

• Design AI-ready enterprise data architectures enabling 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 modernisation roadmaps • Advise clients on architecture and platform choices across 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 for analytics, AI, GenAI and operational workflows • Shape semantic layers, ontologies and knowledge graph patterns • Oversee high-level 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, translating technical architecture concepts into business outcomes, options and risks • Contribute to proposals, client conversations, internal methods and thought leadership on enterprise data architecture and AI-ready data foundations • Work in cross-functional teams with product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders • Produce 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

• 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 • A second major European language is an advantage • Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL • Familiarity with feature store design and MLOps / DataOps pipeline integration • Experience with stream processing at scale using Apache Kafka or Apache Flink • Background in master data management or data mesh architecture • Consulting or comparable client-facing delivery experience • Comfortable working in ambiguous consulting environments, shaping options, making trade-offs explicit and taking senior stakeholders on the journey from strategy to implementation • Self-directed, able to prioritise and juggle multiple workstreams • Clear communicator who can simplify complexity for technical and non-technical audiences alike • Collaborative, curious, continuous learner

🏖️ Benefits

• Industry-leading compensation and benefits • Top training and development opportunities • Training and career paths • Inclusive and entrepreneurial culture • Global reach and opportunities to partner with clients throughout their transformation journey