Data Architect – Securities Services

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.

We are seeking an experienced Data Architect to lead the data architecture strategy for our Securities Services organization. This role will be responsible for designing and governing the enterprise data landscape across key business domains including Custody, Settlements, Entitlements, Reconciliations, Regulatory Reporting, and Asset Servicing.

The successful candidate will partner with business, product, engineering, and architecture teams to establish scalable data models, data products, governance frameworks, and integration patterns that enable modernization, real-time processing, analytics, and cloud adoption. The role will play a critical part in transforming legacy platforms into a modern, event-driven and data-centric ecosystem

Key Responsibilities Define and maintain the target-state data architecture for the Securities Services portfolio.

Develop enterprise, domain, and canonical data models that support strategic business capabilities.

Establish data architecture standards, design principles, and governance frameworks.

Drive Data Mesh, data product, metadata, lineage, and data quality strategies across business domains include working with COO/AS CDO.Design scalable integration patterns leveraging event-driven architecture, APIs, and cloud-native technologies.

Partner with business and technology stakeholders to align data strategy with business priorities and modernization initiatives.

Ensure data platforms support operational, analytical, regulatory, and client reporting needs.

Lead data architecture reviews and provide guidance on strategic programs, platform investments, and solution designs.

Promote reuse, simplification, and standardization of data assets across the enterprise.

Support regulatory, risk, audit, security, and compliance requirements through robust data controls and governance practices.

Required Qualifications Bachelor's degree in Computer Science, Information System, Engineering, or a related discipline.
10+ years of experience in Data Architecture, Information Architecture, Data Management, or related roles.

Strong knowledge of Securities Services, Custody, Settlements, Accounting, Reconciliations, Asset Servicing, or Capital Markets operations.

Expertise in data modeling, data governance, metadata management, reference/master data, and data quality frameworks.

Experience designing cloud-based data platforms, data lakes/lake houses, and event-driven architectures.

Strong understanding of modern integration patterns including APIs, messaging, and streaming technologies.

Proven ability to influence senior business and technology leaders and drive enterprise-wide architectural decisions.

Preferred Qualifications

Experience with Data Mesh and domain-driven data architectures.

Experience with Azure cloud technologies, Databricks, Kafka, Solace, and modern data platforms.

Familiarity with financial services regulatory and data management requirements.

Experience supporting large-scale transformation and modernization programs.

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