Posted on: 17/07/2026
Responsibilities :
- Design and develop MDM solutions based on business requirements and data governance policies.
- Implement and configure MDM platforms and tools (e.g., Informatica MDM, SAP MDG, Reltio, Profisee, Tibco EBX).
- Define and implement data models, data standards, and data quality rules within the MDM system.
- Develop and maintain data integration processes to onboard data from source systems into the MDM hub and distribute master data to downstream systems.
- Implement data cleansing, standardization, and enrichment processes to improve data quality.
- Monitor data quality metrics and implement data quality remediation workflows.
- Define and implement data matching and merging rules to create a single version of truth for master data entities.
- Configure and manage user roles, security permissions, and access controls within the MDM system.
- Develop and maintain workflows for data stewardship and data governance processes.
- Collaborate with data owners, data stewards, and business stakeholders to understand their data needs and ensure alignment with MDM strategies.
- Troubleshoot and resolve issues related to MDM data, processes, and integrations.
- Develop and maintain technical documentation for MDM solutions, including data models, integration mappings, and configuration guides.
- Participate in the evaluation and selection of MDM tools and technologies.
- Optimize the performance and scalability of the MDM environment.
- Stay up-to-date with the latest trends and advancements in MDM technologies and best practices.
- Participate in data governance initiatives and contribute to the development of data policies and standards.
Technical Skills :
- MDM Platforms : Hands-on experience with one or more leading MDM platforms (e.g., Informatica MDM, SAP MDG, Reltio, Profisee, Tibco EBX).
- Data Modeling : Strong understanding of data modeling concepts (e.g., relational, dimensional) and experience in designing master data models.
- Data Quality : Expertise in data quality principles, data profiling, data cleansing, standardization, and enrichment techniques. Experience with data quality tools.
- Data Integration : Experience with data integration tools and techniques (e.g., ETL, ELT, data virtualization) and integrating MDM with various source and target systems (e.g., databases, CRM, ERP, data warehouses).
- SQL : Proficiency in writing and executing SQL queries for data manipulation and analysis.
- API Integration : Experience with RESTful and SOAP APIs for integrating MDM with other applications.
- Data Governance : Understanding of data governance principles, data stewardship, and data lifecycle management.
- Scripting Languages : Familiarity with scripting languages like Python or Java for automation and data manipulation.
- Database Technologies : Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and potentially NoSQL databases.
- Cloud Technologies : Experience with cloud-based MDM solutions and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Preferred Skills :
- Experience with specific MDM industry solutions or data domains (e.g., Customer Data
Integration, Product Information Management, Supplier Relationship Management).
- Knowledge of data warehousing and business intelligence concepts.
- Experience with metadata management tools.
- Familiarity with data security and privacy regulations.
- Experience with workflow engines and business process management (BPM) tools.
- Experience with master data matching and merging algorithms.
Qualifications :
- Bachelors degree in Computer Science, Information Technology, or a related field.
- Minimum of 5 years of professional experience as an MDM Engineer or in a similar role.
- Proven experience in implementing and managing MDM solutions.
- Strong understanding of data governance and data quality principles.
- Relevant certifications in MDM technologies are a plus.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1655400