Metadata & Data Lineage Specialist

About this role

Moniepoint is seeking a Metadata and Data Lineage Specialist in Lagos to establish and operate the company’s metadata management and data lineage capabilities. The role focuses on making the data catalog useful for teams, tracing how data moves and transforms across systems, and scaling governance to support critical data products and regulatory needs. The specialist will move frameworks from theory to practice, expanding coverage, improving quality, and automating collection where possible. The position involves working with DataHub and related tools to enhance data discovery, lineage, and governance. The role fits candidates with experience in metadata management, data governance, and data architecture within regulated environments like fintech or banking.

What you would do

• Maintain and enhance enterprise metadata and data cataloguing within DataHub, developing glossaries, definitions, and ownership frameworks.
• Develop, maintain and validate end-to-end data lineage for critical data flows and downstream consumers.
• Support administration and optimisation of DataHub, configure ingestion workflows and monitor metadata ingestion jobs.
• Establish metadata quality rules and KPIs, perform assessments, and align with governance policies.
• Apply data classification metadata for sensitivity and regulatory needs, support risk and compliance teams with lineage information.
• Promote AI-assisted metadata management and contribute to semantic models and knowledge graphs.
• Engage stakeholders, facilitate workshops, and guide data producers and consumers to improve data literacy and adoption.

What they are asking for

• Bachelor’s degree in a relevant field (e.g., Computer Science, Information Management, Data Science, Information Systems, Engineering).
• 3–6+ years of experience in Metadata Management, Data Governance, Data Architecture, or Data Engineering.
• Hands-on experience with Solidatus, Informatica, DataHub, or similar enterprise data catalog platforms.
• Practical experience developing end-to-end data lineage across complex environments.
• Familiarity with modern data architectures (Medallion, Data Mesh, Data Vault 2.0, warehouses, data lakes, cloud).
• Experience in financial services, fintech, payments, banking or regulated data environments is highly desirable.
• Strong ability to manage stakeholders and facilitate training for adoption.
• Knowledge of APIs, ETL/ELT pipelines, and automated metadata integration.
• Proficiency with relational databases, SQL, and database structures.
• Awareness of AI-assisted metadata management, semantic modelling, ontologies, and knowledge graphs.

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