Job Description, Responsibilities & Requirements
About the Position
We are seeking a skilled Data Quality Consultant to support the implementation and execution of enterprise data management strategies and frameworks that ensure standardization, quality, interoperability, and governance of information. You will contribute to Data Management, Master Data Management (MDM), Data Quality, and Semantic Architecture initiatives, helping ensure that data is consistent, reliable, and reusable across the organization.
Responsibilities
- Apply corporate data standards and architectural best practices
- Contribute to the development of enterprise data models and governance strategies
- Implement master and reference data management processes
- Support the definition and monitoring of data quality metrics and controls
- Implement persistent identification schemes for critical entities
- Build and maintain semantic models that enable interoperability between systems
- Collaborate with business, analytics, and engineering teams to ensure the correct use of data
- Support data governance, traceability, and regulatory compliance initiatives
- Help standardize structures, naming conventions, and business rules
- Maintain reference data and corporate catalogs
Requirements
- 3+ years of experience in data management and data quality projects
- Experience contributing to Data Governance, MDM, and data quality programs
- Practical knowledge of enterprise data models, taxonomies, and corporate standards
- Understanding of data integration and interoperability across platforms and business domains
- Experience working alongside business, analytics, data engineering, and data governance teams
- Ability to build conceptual, logical, and physical models aligned with corporate standards
- Hands-on experience managing master entities such as Customers, Products, and Suppliers
- Experience implementing data quality controls and monitoring KPIs like Completeness, Consistency, and Accuracy
- Familiarity with unique identification approaches, master keys, and identity resolution
- Understanding of semantic layers, business glossaries, and ontologies for enterprise data consumption
- Exposure to Data Catalog and Business Glossary initiatives
Nice to Have
- Experience with Informatica MDM, Semarchy, or Profisee
- Skills in Informatica Data Quality, Talend, or Ataccama
- Knowledge of Collibra, Alation, and Microsoft Purview
- Proficiency in SQL Server, Oracle, PostgreSQL, or Snowflake
- Familiarity with Azure, AWS, or GCP and modeling tools such as ER/Studio, Erwin, or PowerDesigner
About the Company
[Company description if present]