Data Architect – Securities Services & Data Mesh

Northern Trust Corp; Chicago (IL); Presencial; USD 137.000 - 234.000; Jornada completa

Descripción de la vacante

Northern Trust seeks an experienced Data Architect to lead the data architecture strategy for Securities Services. You will design and govern data models across custody, settlements, entitlements, reconciliations, and regulatory reporting, partnering with business and engineering to enable real-time processing and cloud adoption.

The role emphasizes data mesh, metadata, and scalable integration patterns to support regulatory, analytics, and client reporting needs in a large financial services

Formación

• Bachelor's degree required in a relevant field.
• At least 10+ years in Data Architecture or related roles.
• Strong knowledge of Securities Services, Custody, Settlements and asset servicing is preferred.

Responsabilidades

• Define and maintain the target-state data architecture for Securities Services.
• Develop enterprise, domain, and canonical data models to support capabilities.
• Establish data architecture standards, governance and metadata frameworks.
• Drive Data Mesh, data products, lineage, and data quality strategies across domains.
• Design scalable integration patterns using APIs, messaging, and cloud-native tech.

Conocimientos

Data modeling

Data governance

Metadata management

Reference/master data

Data quality

Cloud architectures

APIs

Streaming technologies

Data Mesh

Domain-driven design

Educación

Bachelor's degree in Computer Science/IS/Engineering or related

Herramientas

Azure

Databricks

Kafka

Solace

Descripción del empleo

Northern Trust seeks an experienced Data Architect to lead the data architecture strategy for Securities Services. You will design and govern data models across custody, settlements, entitlements, reconciliations, and regulatory reporting, partnering with business and engineering to enable real-time processing and cloud adoption.

The role emphasizes data mesh, metadata, and scalable integration patterns to support regulatory, analytics, and client reporting needs in a large financial services