MDM Sr Principal Engineer

About the Role

As a CBRE MDM Sr Principal Engineer, you will be at the forefront of transforming CBRE's enterprise data landscape, with Master Data Management central to this initiative. You will take ownership of our Reltio MDM platform, serving as the ultimate subject matter expert for all Reltio-related aspects. You will architect data models, design complex match/merge rules, and drive the technical vision for MDM across the entire enterprise.

This high-impact individual contributor role, reporting directly to the Senior Director of Data Governance and Engineering, requires you to bridge the gap between business strategy and technical execution, ensuring our master data is accurate, connected, and scalable. You will be embedded within a 20-person governance and engineering team, playing a crucial role in our data evolution.

This job is part of the Software Engineering job function. They are responsible for successfully executing and monitoring system improvements to increase efficiency.

• Architect and build enterprise-grade Master Data Management solutions natively within Reltio, owning the platform end-to-end.
• Design and configure complex L3 configurations, match/merge rules, survivorship frameworks, and data quality workflows.
• Define and maintain the MDM data model across CBRE’s core entity domains — clients, properties, counter parties, and organizations — ensuring models are scalable as new domains onboard.
• Establish and govern MDM engineering standards for configuration, naming conventions, API usage, and environment management (dev/test/prod).
• Lead technical integrations between Reltio, Snowflake, AWS, and upstream/downstream systems using Snap Logic and direct API patterns.
• Build and maintain data synchronization pipelines that keep master data consistent across the CBRE data estate — from source systems through to Snowflake and governed data products.
• Partner with the Collibra Engineering Lead to ensure Reltio entity data is accurately reflected in the data catalog, lineage, and governance metadata.
• Partner with the DQ Engineering Lead to ensure MDM entity resolution and survivorship outputs are monitored and quality‑scored within SODA.
• Collaborate with the Principal AI Engineer to integrate LLM-based entity matching, deduplication, and enrichment capabilities into Reltio workflows.
• Evaluate and implement AI‑assisted MDM capabilities — intelligent match scoring, automated survivorship decisions, and anomaly flagging — to reduce manual stewardship burden at scale.
• Ensure AI-generated MDM outputs are governed, auditable, and validated against CBRE’s data quality and governance standards before promotion to master.
• Set the standard for MDM best practices, data modeling, and governance standards across the team.
• Build UI/UX experiences for data stewards — workflows, dashboards, and issue queues in Reltio that make stewardship intuitive and efficient.
• Act as the senior technical voice on MDM in cross‑functional forums — architecture reviews, data product launches, and governance councils.
• Lead by example and model behaviors that are consistent with CBRE RISE values. Navigate objections and disagreements. Set the tone for teams to reach an agreement and adopt a different point of view. Negotiate with senior and executive management, customers, regulators, and vendors to influence decisions of visionary and strategic importance.
• Apply ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations.

• Bachelor's Degree preferred with 10+ years of relevant experience in Master Data Management (MDM) implementation at an enterprise scale. In lieu of a degree, a combination of experience and education will be considered.
• Deep expertise in Reltio MDM solutions, including extensive hands‑on experience with L3 configuration, Reltio API, and UI configuration.
• Mastery of MDM concepts, entity resolution, graph databases, and data governance frameworks.
• Proficiency with modern data stacks (e.g., Snowflake, AWS) and integration platforms (e.g., Snap Logic, REST APIs).
• Demonstrated ability to translate ambiguous business requirements into scalable Reltio data…