Architect (R-19060)

Team Overview:

 

Would you like to be part of a team building and evolving enterprise‑grade Master Data Management (MDM) platforms that power critical business decisions for customers worldwide? Our MDM Technologies team is responsible for designing, scaling, and modernizing systems that manage core business entities—such as customers, suppliers, leads, and reference data—ensuring they are trusted, consistent, and readily available across downstream applications.

 

The team works at the intersection of data architecture, distributed systems, and cloud platforms to solve complex challenges related to data quality, identity resolution, integration, and governance at scale. We build highly available, resilient services that support both real‑time and batch workloads, integrate seamlessly with internal and external platforms, and operate reliably across global regions.

 

Engineers on this team work closely with product, data, and platform partners to translate business needs into scalable technical solutions. We value strong architectural thinking, hands‑on technical leadership, and a pragmatic approach to delivering high‑impact systems that balance data quality, performance, and speed.

 

The Role:

The MDM Technologies team is looking for a Software Architect to design and lead the evolution of Dun & Bradstreet’s flagship Master Data Management (MDM) suite of applications.

This is a highly visible position requiring strong technical depth, sound judgment, and the ability to influence senior stakeholders. You will mentor senior engineers, guide architectural decisions across the platform, and set technical direction for major enhancements to MDM applications. You will partner closely with product, data, and platform teams to translate business requirements into resilient, cloud‑native architectures, while balancing data quality, performance, and time‑to‑market.

As a SW architect, you will keep informed on industry trends on AI. Supporting architecture reviews and technology roadmaps that consider AI as an enabler for automation, insight generation, and decision support.