Job Title

Job Description Summary

Job Description

Key Responsibilities

• Lead the architecture, implementation, and administration of Profisee MDM within a modern, cloud-native and on-prem data ecosystem.
• Design and maintain MDM data models, domains, hierarchies, match/merge rules, and survivorship strategies to ensure trusted golden records.
• Configure and administer Profisee, including security roles, user provisioning, and platform performance optimization.
• Develop scalable, high-performance integration solutions with Azure Data Factory, Synapse/Fabric, Databricks, and Power BI.
• Partner with Data Governance teams to implement standards for data quality, lineage, and metadata using Profisee and Azure Purview.
• Conduct architectural reviews, performance tuning, and system reliability initiatives to support enterprise-scale MDM adoption.
• Define and maintain reusable configuration patterns for data quality rules, stewardship workflows, and integration logic.
• Collaborate with business and IT stakeholders to ensure MDM solutions align with governance policies and business outcomes.
• Develop POCs and prototypes to evaluate and implement emerging MDM and governance capabilities in Azure and Profisee SaaS.
• Provide training, onboarding, and ongoing support for data stewards and business users to ensure effective stewardship processes.
• Implement DevOps/DataOps best practices for Profisee deployment and configuration management, including Git-based workflows and CI/CD pipelines.
• Create detailed technical and governance documentation and promote collaboration across data engineering, governance, and analytics teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• 6+ years of progressive experience in data management, governance, or MDM, with at least 3+ years in Profisee MDM design and administration.
• Proven experience designing and deploying MDM platforms (Profisee preferred, others such as Informatica, Reltio, or SAP MDG considered).
• Deep hands-on expertise with Azure ecosystem: Data Factory, Synapse/Fabric, Purview, Databricks, and SQL-based data integration.
• Strong understanding of data governance, master data concepts (golden record, survivorship, match/merge), and stewardship workflows.
• Experience with platform administration, including security, authentication (AD/Azure AD), and system performance monitoring.
• Working knowledge of DevOps practices and automation frameworks, including CI/CD pipelines, Git-based workflows, and Infrastructure-as-Code.

Preferred Qualifications

• Industry experience in commercial real estate, financial services, or other data-intensive operational environments.
• Knowledge of modern data architecture patterns (data fabric, data mesh, data lakehouse).
• Proficiency in SQL, Python, or .NET for scripting and automation in MDM solutions.
• Understanding of data privacy and compliance frameworks (GDPR, CCPA, HIPAA).
• Relevant certifications such as Profisee MDM, Azure Solutions Architect, Azure Data Engineer, or TOGAF.