Enterprise Data Architect
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Infosys Consulting - EuropeManagement Consulting
London, England, United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5–10+ years
- Required Skills
- Data engineeringStakeholder managementGenerative AI
Requirements
- 5–10+ years in data architecture, enterprise architecture, or senior data engineering.
- Experience designing modern data architectures for AI, ML, or GenAI.
- Understanding of cloud data platforms, lakehouses, warehouses, and data integration.
- Experience leading data governance initiatives.
- Knowledge of semantic layers, ontologies, or knowledge graphs.
- Deep experience with a major cloud platform (AWS, Azure, or Google Cloud).
- Familiarity with GenAI data patterns (RAG, vector search, embedding pipelines).
- Strong stakeholder management and communication skills.
- Fluent in English.
- Bachelor’s degree or equivalent experience.
Responsibilities
- Design AI-ready enterprise data architectures for analytics, AI, ML, and GenAI.
- Assess clients' existing data estates and design modernisation roadmaps.
- Advise clients on data platform choices and architecture trade-offs.
- Define data governance and metadata patterns.
- Design data products, data contracts, and information models.
- Shape semantic layers, ontologies, and knowledge graph patterns.
- Oversee high-level design of ingestion, integration, and transformation patterns.
- Identify and mitigate data-related risks.
- Translate technical concepts into business outcomes for client stakeholders.
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