# Enterprise Data Architect

**Company**: Infosys Consulting
**Location**: London
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Consulting

**Apply**: https://jobs.workable.com/view/sHWJ2JPTkVmkwvRvBpVkpV/remote-enterprise-data-architect-in-london-at-infosys-consulting---europe?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fa6a8f76-9db

## Description

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.

You will work in cross-functional teams alongside product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders.

## 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.

## Benefits

Infosys offers industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.

## Skills

### Required
- data architecture
- enterprise architecture
- solution architecture
- data engineering
- cloud data platforms
- lakehouses
- warehouses
- data integration
- data modelling
- metadata management
- semantic layers
- ontologies
- knowledge graph concepts
- GenAI data patterns

### Nice to have
- graph modelling
- ontology standards
- graph query languages
- feature store design
- MLOps / DataOps pipeline integration
- stream processing at scale
- master data management
- data mesh architecture
- consulting or comparable client-facing delivery experience

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