Senior Information Architect-London

Job title: Senior Information Architect-London

About the Role The Senior Information Architect sits within Northern Trust’s Information Architecture team, shaping the firm’s enterprise data strategy, data modelling standards, and AI-enabled capabilities. The role will provide design authority and governance across conceptual, logical, and physical data models, operating across the firm’s cloud data platforms and contributing to AI-driven data products.

What You'll Do

• Lead data model design across conceptual, logical, and physical layers aligned to data mesh and medallion architectures
• Govern and maintain the enterprise data model library in SqlDBM, enforcing naming conventions, domain standards, and versioning
• Define and steward canonical data entities and lineage across source, integration, and consumption layers
• Translate business requirements into robust data structures in collaboration with engineering and domain teams
• Guide semantic data models for agentic AI capabilities and interoperability
• Integrate semantic layers with glossaries, catalogs, and lineage tooling
• Design semantic models to support agentic-AI capabilities and search
• Define semantic standards for data domains and metadata to ensure interoperability
• Design data product schemas for Snowflake and Databricks (Delta Lake) and establish access patterns
• Establish architectural guardrails for data product design (performance, security, cost)
• Embed data contracts and data quality frameworks across pipeline outputs
• Leverage Snowflake Cortex / Databricks Genie for NLP and AI-enabled data products
• Use GitHub Copilot to accelerate modelling, documentation, and pipeline development
• Act as a design authority across teams; align with regulatory standards
• Mentor junior architects and engineers across the information architecture community of practice

What We're Looking For

• Proven experience in data architecture, data engineering, or information management
• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field
• Proven enterprise data modelling experience at conceptual, logical, and physical levels
• Hands-on SqlDBM experience (or equivalent)
• Proven experience with dbt Labs
• Strong Python, API integration, and automation skills
• Practical Snowflake and Databricks experience including Cortex AI and Genie
• Working knowledge of OWL, RDF, SPARQL and enterprise ontology design
• Experience with at least one agentic AI framework
• GitHub Copilot or equivalent AI coding assistant in professional setting
• Financial services background preferred; BCBS 239 awareness advantageous

Nice to Have

• Data Vault 2.1 with Kimball/Star-scheme modelling
• Data mesh, data product ownership, and federated governance
• Knowledge graph platforms (Neo4j, Neptune) or ontology build experience
• Published thought leadership or community contributions in data or AI

Compensation & Benefits

• Not disclosed in the posting