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# Enterprise MDM Architect (Principal Data Architect)

- **Company:** Capgemini
- **Location:** Cincinnati, OH, United States
- **Experience:** Experienced
- **Salary:** $177,445.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Database, Program Optimization, Information Systems, Data Architecture, Data Validation, Data Discovery, Information Engineering, Data Governance, Data Profiling, Data Warehousing, Meta-Data Management, Performance Tuning, Reference Data, Cloud Services, Salesforce.Com, SQL Databases, Data Streaming, Workflow Management Systems, Data Lakes, Information Technology, Enterprise Integration, Integration Frameworks, Data Management, Sap Portal
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cfa354e7665e09e0

## About the Role

* Bachelors or Masters degree in Computer Science Information Systems Data Management or related field
 * 8 years of experience in Data Management Data Architecture or MDM
 * 3 years of hands-on experience with Ataccama ONE platform
 * Proven experience implementing enterprise scale MDM solutions
 * Strong understanding of Master Data Management concepts Data Governance Data Quality Management Metadata Management and Reference Data Management, * The ideal Ataccama MDM Architect combines deep platform expertise enterprise data architecture experience governance leadership and business stakeholder engagement skills serving as the bridge between business strategy and trusted enterprise data

## Description

MDM Architecture
data modeling
ERP integrations
Platform Optimization
metadata management
data validation
sql database
data profiling, We are seeking an experienced Ataccama MDM Architect to lead the design implementation and optimization of enterprise Master Data Management MDM solutions using the Ataccama ONE platform The ideal candidate will possess deep expertise in MDM architecture data quality metadata management data governance and cloud based data ecosystems This role will partner closely with business stakeholders data governance teams domain experts and engineering teams to establish trusted governed and AI ready master data assets across the enterprise, MDM Strategy Architecture:

 * Define and implement enterprise MDM strategy leveraging Ataccama ONE
 * Design scalable multidomain MDM solutions covering Customer Product Vendor Employee and Reference Data domains
 * Develop conceptual logical and physical master data models aligned with business objectives
 * Establish golden record creation survivorship matching merging and hierarchy management strategies
 * Create enterprise reference architecture and roadmap for MDM modernization initiatives

Ataccama Platform Leadership:

Architect and implement Ataccama ONE MDM solutions including:

 * Data Model Configuration
 * Matching Survivorship Rules
 * Workflow Design
 * Reference Data Management
 * Hierarchy Management
 * Data Stewardship Workflows
 * Data Quality Monitoring
 * Configure and optimize data quality frameworks using Ataccama profiling validation standardization and cleansing capabilities
 * Lead platform upgrades performance tuning and scalability planning

Data Governance Quality:

 * Collaborate with Data Governance teams to define Data ownership Stewardship models Business glossaries Data policies and Data quality standards
 * Implement measurement frameworks for Completeness Accuracy Consistency Timeliness and Uniqueness
 * Ensure compliance with regulatory and audit requirements

Integration Engineering:

 * Design integration architectures across
 * Cloud and on premises systems
 * ERP platforms SAP Oracle
 * CRM platforms Salesforce Dynamics
 * Data Warehouses and Data Lakes
 * Streaming and API ecosystems
 * Develop MDM integration patterns using APIs ETLELT pipelines and eventdriven architectures
 * Collaborate with Data Engineering teams to establish reusable integration frameworks

Stakeholder Management:

 * Conduct business requirement workshops and data discovery sessions
 * Translate business requirements into scalable MDM architecture solutions
 * Partner with business data stewards and domain owners to drive adoption and governance maturity
 * Present architecture recommendations and implementation roadmaps to senior leadership, * SQL Data Modeling ETLELT Frameworks API Integration and Cloud Data Platforms

Success Measures:

The successful candidate will:

 * Deliver trusted golden records across key business domains
 * Improve enterprise data quality and governance maturity
 * Reduce duplicate and inconsistent master data
 * Establish scalable MDM services supporting AI and analytics initiatives
 * Enable business stakeholders to make datadriven decisions using accurate and governed data assets


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