Information Architect

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure:
Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Lead and contribute with conceptual, logical, and physical data model design aligned to the firm's 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

Help with the translation of business requirements into rigorous data structures in collaboration with engineering and domain teams

Guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions

Integrate semantic layers with business glossaries, data catalogues, and lineage tooling

Design and maintain semantic models to support agentic-AI capabilities

Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search

Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products

Guide and control the creation of data domains that align with the banks underlying capabilities

Design data product schemas across Snowflake and Databricks, including Delta Lake structures and access patterns

Define and enforce architectural guardrails for data product design, including performance, scalability, security, and cost efficiency

Set design standards and review transformation/pipelines for compliance

Embed data contract standards and data quality frameworks across pipeline outputs

Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products

Utilize Git Hub Copilot (or similar) to accelerate modelling, documentation, and pipeline development

Design and define a set of agentic skills that can be provided to implementation teams

Contribute to the firm's AI Champion network, evaluating emerging capabilities and advising on adoption

Act as a design authority for data architecture across teams and data domains

Partner with enterprise, security, and risk architecture to ensure data solutions align with broader technology and regulatory standards

Provide early-stage architectural input to initiative discovery and solution design to reduce delivery risk

Present architecture decisions to senior stakeholders, architecture review boards, and regulatory audiences

Support regulatory compliance through robust lineage, metadata management, and data quality evidence

Mentor junior architects and engineers within the Information Architecture community of practice

Proven experience in data architecture, data engineering, or information management

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline

Proven…