MDM Sr Principal Engineer

CBRE Group, Inc.; Richardson (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

CBRE Group, Inc. is seeking a Sr Principal Engineer to lead master data management (MDM) initiatives, focusing on the Reltio MDM platform. This role involves architecting data models and ensuring master data accuracy across the enterprise.

Applicants should have over 10 years of experience in MDM, deep Reltio expertise, and strong leadership skills. The role offers the opportunity to influence MDM strategies and improve data quality governance.

Qualifications

• 10+ years of relevant experience in Master Data Management (MDM).
• Extensive hands-on experience with L3 configuration.
• Ability to translate ambiguous business requirements into data models.

Responsibilities

• Architect and build enterprise-grade MDM solutions within Reltio.
• Define and maintain the MDM data model across core entity domains.
• Lead technical integrations using SnapLogic and direct API patterns.

Skills

Deep expertise in Reltio MDM solutions

Proficiency with modern data stacks

Strong leadership and communication skills

Mastery of MDM concepts

Education

Bachelor's Degree preferred

Tools

Reltio API

SnapLogic

Snowflake

Microsoft Office

Job description

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.

What You’ll Do

• 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, counterparties, 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 SnapLogic 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, or vendors to influence decisions of visionary and strategic importance.
• Apply ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations.

What You’ll Need

• 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., SnapLogic, REST APIs).
• Demonstrated ability to translate ambiguous business requirements into scalable Reltio data models and survivorship workflows.
• Strong leadership and communication skills, capable of driving technical projects from concept to production and explaining complex MDM concepts to diverse stakeholders.
• Independent judgment skills to determine methods, techniques, and evaluation criteria for measuring success.
• Ability to recognize and resolve situations of substantial significance in a field of expertise or knowledge.
• In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
• Must be meticulously organized and have a masterful inquisitive mindset.

Disclaimer

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.