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.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Data Modelling & Architecture
- 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
Semantic & Knowledge Modelling
- 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
Data Engineering & Platforms
- 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
Agentic AI & AI-Assisted Development
- Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products
- Utilize GitHub 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
Enterprise Architecture & Design Assurance
- 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
Governance & Stakeholder Engagement
- 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
Essential Requirements
- 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 enterprise data modelling experience at conceptual, logical, and physical levels
- Hands-on SqlDBM experience (or equivalent modern toolset)
- Proven experience with dbt Labs
- Good Python skills, API integration, automation
- 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 experience in a professional setting
- Financial services background preferred; BCBS 239 awareness advantageous
Desirable
- Data Vault 2.1 alongside Kimball/Star-schema modelling
- Data mesh, data product ownership and federated governance
- Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ontologies
- Published thought leadership or community contributions in data or AI
Salary Range:
$137,400 - 240,400 USDSalary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.
Work Authorization
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Working with Us
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.
Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
Reasonable Accommodation
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at [email protected], or alternatively you can discuss your individual requirements with the recruiter you are working with.
Northern Trust Chicago, Illinois, USA Office
50 S. La Salle, Chicago, IL, United States, 60603
Northern Trust Naperville, Illinois, USA Office
Naperville, United States
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

.png)