Principal Engineer (R-20004)
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 5, 2026. Dun & Bradstreet scores B on the Alion truth index.
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