Senior Information Architect-London

Northern Trust
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Governance","Stakeholder management","Mentoring","Collaboration","Design assurance"]

Shape the firm’s enterprise data strategy as a design authority within Information Architecture. Lead conceptual, logical, and physical data model governance across data mesh and medallion architectures, steward the enterprise data model library, and define canonical entities, lineage, and semantic standards. Design data product schemas on Snowflake and Databricks (Delta Lake), embed data contracts and quality frameworks, and support AI-assisted, agentic capabilities. Present decisions to stakeholders and mentor the community.

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FursaFursa
Northern Trust
Northern Trust
2 months ago

Senior Information Architect-London

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Shape the firm’s enterprise data strategy as a design authority within Information Architecture. Lead conceptual, logical, and physical data model governance across data mesh and medallion architectures, steward the enterprise data model library, and define canonical entities, lineage, and semantic standards. Design data product schemas on Snowflake and Databricks (Delta Lake), embed data contracts and quality frameworks, and support AI-assisted, agentic capabilities. Present decisions to stakeholders and mentor the community.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Provide design authority and governance across conceptual, logical, and physical data models aligned to data mesh and medallion architectures.
  • •Govern and maintain the enterprise data model library in SqlDBM, enforcing naming conventions, domain standards, and versioning while stewarding canonical entities and lineage.
  • •Design and maintain semantic models, including ontologies, taxonomies, and controlled vocabularies to support AI-ready metadata and search.
  • •Design data product schemas across Snowflake and Databricks (including Delta Lake), define architectural guardrails, and embed data contract and data quality frameworks.
  • •Act as enterprise architecture design authority, present decisions to senior stakeholders and regulatory audiences, and mentor junior architects and engineers.

Key Requirements

  • •Proven experience in data architecture, data engineering, or information management, including enterprise data modelling at conceptual, logical, and physical levels.
  • •Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline.
  • •Hands-on SqlDBM experience (or equivalent modern toolset) and proven dbt Labs experience.
  • •Good Python skills, including API integration and automation.
  • •Practical Snowflake and Databricks experience (including Cortex AI and Genie), plus working knowledge of OWL, RDF, and SPARQL or enterprise ontology design.
Experience:Financial services
Education:Bachelor's in Computer Science, Information Systems, Data Science, Engineering, or a related discipline
Skills:GovernanceStakeholder managementMentoringCollaborationDesign assurance
Tech Stack:SqlDBMSnowflakeDatabricksDelta LakeDbt LabsPythonAPIsSnowflake CortexDatabricks GenieGitHub CopilotOWLRDFSPARQLOntologiesNeo4jNeptuneData meshMedallion architecturesAgentic AILLM-augmented data products

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Northern Trust
Global financial services firm providing wealth management, asset servicing, asset management, and banking solutions to institutions, corporations, and affluent individuals, with a focus on custody, investment management, and technology-driven services.
Industry: Asset Management
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Chicago, United States
Founded: 1889
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn