Metadata Specialist | Data Catalog Administrator

Role Overview

Employment and Level

• The stated employment type is full-time.
• The description identifies the level as mid-level to senior.

Metadata and Catalog Management

• Manage enterprise data catalogs, metadata repositories, business glossaries, data dictionaries, reference data, and standardized terminology.
• Create and maintain technical, business, operational, and descriptive metadata for databases, applications, reports, dashboards, files, and other data assets.
• Configure catalog structures, categories, tags, domains, user permissions, workflows, and approval processes.
• Coordinate metadata onboarding, harvesting, scanning, profiling, and synchronization for new datasets, systems, applications, and data products.

Governance, Quality, and Lineage

• Establish metadata standards, naming conventions, classification rules, and documentation guidelines aligned with data-governance policies.
• Maintain data lineage, ownership, stewardship responsibilities, sensitivity classifications, access requirements, and relationships between data assets.
• Monitor metadata completeness, accuracy, consistency, and quality, and investigate missing, outdated, or inconsistent information.
• Support data privacy and security initiatives by identifying sensitive information and maintaining appropriate metadata classifications.

Projects and Enablement

• Develop metadata-quality reports, dashboards, monitoring metrics, procedures, user guides, and operating standards.
• Support data migration, system implementation, cloud transformation, data-platform, impact-analysis, and dependency-analysis projects.
• Provide guidance and training on data catalogs, metadata standards, and data-discovery processes.
• Participate in data-governance working groups and identify opportunities to automate metadata collection, validation, classification, and synchronization.

Required Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Data Management, Information Systems, Business Analytics, or a related field.
• Proven experience in metadata management, data catalog administration, data governance, data management, or a related discipline.
• Strong understanding of metadata concepts, data catalogs, data dictionaries, business glossaries, data lineage, and enterprise data assets.
• Experience administering or supporting enterprise data-catalog or metadata-management platforms.
• Familiarity with data governance frameworks, standards, policies, and stewardship practices.
• Strong understanding of databases, data warehouses, data lakes, and enterprise information systems.

Preferred Qualifications

• Knowledge of SQL and relational database concepts is preferred.
• Familiarity with APIs, ETL/ELT, data integration, and data pipelines is advantageous.
• Experience with AWS, Microsoft Azure, or Google Cloud is beneficial.
• Familiarity with Collibra, Alation, Informatica, Microsoft Purview, Atlan, or equivalent platforms is advantageous.
• Experience with data-quality monitoring and improvement, or data modeling, taxonomy, ontology, and semantic data concepts, is beneficial.
• Relevant certifications in data governance, metadata management, information management, or related fields are beneficial.

Professional Capabilities

• Strong analytical, problem-solving, organizational, project-management, communication, documentation, and stakeholder-management abilities are required.
• The role requires translating complex technical data concepts into clear business descriptions and working effectively with cross-functional data teams.
• A proactive approach to identifying metadata gaps and improving data discoverability is expected.

What the Employer Offers

• The employer advertises competitive salary and comprehensive employee benefits.
• The role offers exposure to enterprise-scale data platforms, modern governance technologies, cloud migration, data transformation, and enterprise data initiatives.
• Professional development, relevant certification support, collaboration with experienced data professionals, and career progression opportunities are advertised.