Job Title: Enterprise Master Data Management (MDM) Architect Location: Remote/Travel Employment Type: Contract Workplace Mode: Remote Job ID: DFZ-2026-1030 About DataFactZ DataFactZ is a data and analytics consulting company headquartered in Northville, Michigan, with delivery teams in the United States and India. For more than two decades, we've helped organizations turn their data into better decisions through data engineering, cloud data platforms on Azure, AWS, and Google Cloud, business intelligence and visualization, advanced analytics, and AI. Our consultants work on high-impact programs for Fortune 500 clients, and we invest in their growth through certifications, hands-on learning, and meaningful work. Curiosity drives everything we do. Job Summary We are seeking an experienced MDM Architect to lead the design and implementation of an enterprise-wide Master Data Management (MDM) solution from the ground up. This role will be responsible for defining the MDM architecture, establishing data governance and integration standards, and building a scalable platform that provides consistent, accurate, and trusted master data across multiple business systems. The ideal candidate will have strong hands-on experience in data architecture, master data modeling, data integration, and cloud technologies, particularly Azure Databricks, MuleSoft, SSIS, and Azure.

Key Responsibilities

Lead the architecture, design, and implementation of a new enterprise MDM platform, including technology evaluation and roadmap development. Define enterprise master data models, integration patterns, and standards across multiple business domains and source systems. Design and implement master data consolidation, matching, deduplication, survivorship rules, and golden record management. Establish data quality, governance, stewardship, and ownership standards in collaboration with business and IT stakeholders. Architect scalable data integration and synchronization solutions using Azure Databricks, MuleSoft, SSIS, and related technologies. Collaborate with enterprise architects, engineering teams, and business stakeholders to drive MDM adoption, scalability, and long-term sustainability. Required Qualifications 10+ years of experience in data architecture, data engineering, or enterprise data management, with strong hands-on MDM expertise. Proven experience designing and implementing enterprise MDM solutions from scratch. Strong understanding of master data modeling, golden records, matching and merging, survivorship, data quality, and stewardship. Hands-on experience with Azure Databricks, MuleSoft, SSIS, SQL, and Azure cloud technologies. Experience integrating data across ERP, CRM, and operational systems using ETL/ELT pipelines, APIs, and modern data architectures. Strong understanding of data governance, metadata management, and security, with excellent communication and stakeholder management skills.

Preferred Qualifications

Experience with enterprise MDM platforms such as Informatica MDM, Reltio, Profisee, Semarchy, or similar technologies. Experience with Microsoft Purview, Delta Lake, and modern lakehouse architectures. Experience establishing MDM frameworks for multiple domains, including Customer, Vendor, Product, and Asset. Experience leading greenfield enterprise data initiatives and mentoring engineering teams.

What We're Looking For

A hands-on architect who can own the MDM solution from initial design through implementation, make key architectural decisions, establish enterprise standards, and work closely with engineering and business teams to deliver a sustainable, enterprise-wide master data platform.