Principal Engineer (R-20004)

Our MDM team is seeking an experienced Principal Full-Stack engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with planned support for AI-driven headless access through MCP tools.

The Principal Engineer (Full Stack) is responsible for working across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth. This role needs to complete the assigned projects with end-to-end ownership.

Team Overview

Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data)

Address challenges in data quality, identity resolution, integration, and governance at scale

Build highly available, resilient systems that support both real-time and batch workloads across global regions

Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions

Key Responsibilities

Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth

Partner with development and product teams to ensure product quality in a fast-paced Agile environment

Partner with SRE team to deploy and manage data infrastructure on cloud platforms such as GCP or AWS

Demonstrate strong customer focus and end-to-end ownership of critical applications, including leadership during customer-impacting incidents and driving post-incident improvements

Provide technical direction for the team by being an expert in technology, system design and architecture

Deliver POCs (Proof of Concept) to quickly identify direction and gaps in proposed architecture and feature development

Work closely with different teams to understand and implement the requirements to design and support their workflows.

Work on complex requirements, and issues which required in-depth analysis.

Proactively improve quality through collaboration, automation, process improvement and innovative thinking

Champion the adoption of AI-enabled engineering practices, accelerating software delivery, improving quality, and increasing developer productivity across teams.

Mentor and develop engineers through technical leadership, design reviews, coaching, and knowledge sharing.

Key Requirements

Bachelor’s degree in Computer Science or related fields

12+ years of experience managing and deploying commercial software products

Experience in building products across the full stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages.

Proven experience building large-scale, distributed systems

Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available

Expert in the Continuous Integration and Continuous Delivery

Experience in performance engineering and optimizations

Experience with Cloud based architecture, cloud native solutions and infrastructure/management, developing and handling of distributed systems

Demonstrated experience leveraging AI tools such as Copilot, Cursor, Gemini, or Claude to improve engineering productivity, software quality, automation, architecture design, troubleshooting, and delivery outcomes.

Strong communication skills (both oral and written)

Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.

Demonstrated growth mindset with a commitment to continuous learning, mentoring, technical leadership, and professional development.

Proven excellence with Java and/or Scala, Python, Spark/PySpark and scripting languages

SDLC-tooling experience with Maven, Github, Jenkins, Terraform