Principal, Enterprise Arch

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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. The Principal Enterprise Architect is responsible for defining and advancing architecture for Global Engineering. The candidate will be a key member of the Global Engineering Architecture team whose collective responsibility is to enable system development through aligned enterprise strategies, roadmaps, golden paths, reference architectures, design patterns, standards, and governance frameworks. This role will partner with executives, enterprise architects, solution architects, application development teams, platform engineering, data, security, and the business. Must demonstrate a proven history of shaping large-scale technology solutions that address the business objectives of a complex global organization. Ensures that business strategy, market trends, technology evolution, and AI-enabled opportunities are effectively represented in the organization's systems, platforms, data architecture, and business processes. Analyzes architectural requirements, defines the vision and target-state architecture, assesses the current state, establishes transformation roadmaps, governs the project portfolio, and partners with solution architects and engineers to realize the target state. This individual must be delivery-oriented, enterprise-minded, and able to influence across senior business, technology, risk, security, and engineering audiences. Must be able to guide strategic direction and make pragmatic decisions that optimize business value, engineering velocity, resiliency, cost, security, regulatory expectations, and risk. Identify reusable platforms, shared engineering capabilities, overlapping functions, and opportunities to converge on standards in order to improve efficiency, quality, developer experience, and time to value across Global Engineering. The preferred candidate will have a broad background in enterprise architecture, application development, cloud-native delivery, integration, data architecture, AI-enabled solutions, platform engineering, security, and architecture governance. Must be able to work independently to solve complex problems, create and manage technology roadmaps, and collaborate effectively with a diverse set of partners. Knowledge / Skills Previous or current hands-on software development experience using modern application development frameworks such as Java/Spring, JavaScript/ReactJS, APIs, cloud-native services, and engineering automation. Significant experience with enterprise architecture patterns, architecture governance, capability modeling, target-state definition, and enterprise architecture best practices. Hands on experience designing and building of cloud-native architectures; preference using Azure, AWS, Tanzu, and/or Kubernetes Deep knowledge of API and microservice style architectures Experience shaping AI-enabled architecture strategies, including generative AI, agentic AI, machine learning, model lifecycle management, prompt and context engineering, retrieval-augmented generation, and integration of AI capabilities into enterprise platforms. Strong understanding of responsible AI, AI risk management, model governance, explainability, data privacy, security controls, regulatory considerations, and production observability for AI-enabled systems. Experience using API Management Platforms and Storefronts (e.g. APIGEE, Software AG, etc) Experience using Kafka, Solace, and/or MQ for messaging/event streaming Deep knowledge of architecture frameworks such as TOGAF and/or Zachman, with the ability to apply frameworks pragmatically across business, application, data, technology, security, cloud, and AI architecture domains. Experience with SQL, NoSQL, data platforms, metadata, data quality, lineage, and governance capabilities required to support analytics, AI, and enterprise-scale decisioning; e.g. Oracle, Postgres, MySQL, SQL Server, Mongo, data lakehouse, and cloud data services. Knowledge of software development methodologies and tools such as Agile, product-oriented delivery, Github, GH Copilot, ADO Boards, Maven/Gradle, CI/CD (Actions), MLOps, LLMOps, and architecture-as-code practices. Experience with DevOps best practices and toolchain / pipeline automation, Azure DevOps and Atlassian Suite preferred Kno

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