10 часов назад
Senior Information Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Information Architect (AI) (Data Architecture/Agentic AI): Shaping enterprise data strategy, conceptual-to-physical data models, semantic layers, and AI-enabled data products with an accent on Snowflake, Databricks, governance, and ontology design. Focus on defining architectural standards, building agentic-AI data capabilities, enforcing lineage and quality controls, and guiding enterprise-wide design decisions.
Location: London, United Kingdom. Full-time, office-based role. Applicants must have the right to work in the UK for the duration of employment; visa sponsorship is not available.
Company
provides wealth management, asset servicing, asset management, and banking services to individuals, families, corporations, and institutions.
What you will do
- Lead conceptual, logical, and physical data model design across data mesh and medallion architectures.
- Govern the enterprise data model library, canonical entities, lineage, naming conventions, domain standards, and versioning.
- Design semantic models, ontologies, taxonomies, and controlled vocabularies for metadata, search, and agentic AI solutions.
- Design data product schemas across Snowflake and Databricks, including Delta Lake structures and access patterns.
- Define architectural guardrails for performance, scalability, security, cost efficiency, data contracts, and quality frameworks.
- Act as a design authority, present architecture decisions to senior and regulatory stakeholders, and mentor junior architects and engineers.
Requirements
- Proven experience in data architecture, data engineering, or information management, including enterprise data modelling at conceptual, logical, and physical levels.
- Hands-on experience with SqlDBM or an equivalent modelling tool, dbt Labs, Python, API integration, and automation.
- Practical Snowflake and Databricks experience, including Cortex AI and Genie.
- Working knowledge of OWL, RDF, SPARQL, enterprise ontology design, and at least one agentic AI framework.
- Professional experience with GitHub Copilot or an equivalent AI coding assistant.
- Right to work in the United Kingdom is required; does not provide visa sponsorship.
Nice to have
- Financial services experience and awareness of BCBS 239.
- Data Vault 2.1 alongside Kimball or star-schema modelling.
- Data mesh, data product ownership, and federated governance experience.
- Knowledge graph platform experience with Neo4j or Neptune.
- Published thought leadership or community contributions in data or AI.
Culture & Benefits
- Flexible and collaborative work culture backed by financial strength and stability.
- Opportunities for internal mobility and access to senior leaders.
- Inclusive workplace with support and reasonable adjustments for health conditions and disabilities.
- Opportunities to contribute time and expertise to community and philanthropic initiatives.
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