Principal Solutions 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.

**Role Summary
**We are seeking a Principal Solutions Architect - Data to provide architectural leadership across enterprise data, reporting, and analytics initiatives. The role will define scalable solutions across data platforms, integration services, semantic models, and business intelligence while ensuring security, governance, performance, and operational readiness.

Key Responsibilities

• Own end-to-end solution and data architecture, including target-state designs, conceptual and logical data models, integration patterns, data flows, security controls, lineage, and technology standards.
• Partner with enterprise architects and governance teams to guide solutions through Permit to Design, Permit to Build, and Permit to Operate, ensuring design, security, risk, infrastructure, support, and operational-readiness requirements are addressed.
• Define scalable engineering and integration patterns across Snowflake, cloud platforms, APIs, batch processing, and event-driven services, balancing resilience, performance, security, and cost.
• Own reporting and analytics architecture, including Performance Reporting, Client Reporting, Power BI, and semantic models. Establish standards for Import, DirectQuery, hybrid models, aggregation, incremental refresh, caching, and query optimization.
• Lead resolution of complex performance issues across source systems, data platforms, transformations, calculation layers, semantic models, and Power BI.
• Define measurable non-functional requirements for performance, scalability, availability, resilience, data freshness, observability, security, supportability, and cost.
• Establish reusable patterns for data modeling, metadata, lineage, data quality, auditability, governance, and access control to reduce technical debt.
• Provide architectural leadership across client, account, product, legal agreement, performance, benchmark, reference, and other strategic data domains.
• Act as a senior design authority by reviewing solutions, challenging technical choices, identifying risks and dependencies, mentoring teams, and communicating decisions to business and technology stakeholders.