Metadata & Data Lineage Specialist

Lagos, Nigeria · Moniepoint Headquaters · 3-6 years experience · Posted Oct 19, 2026

At a glance

Moniepoint is looking for a Metadata & Data Lineage Specialist to build out and run the organization's metadata management and data lineage capabilities.
This role involves making the data catalogue genuinely useful by helping teams find, trust, and understand their data, and tracing how data moves and transforms across systems.
You will take metadata management and data lineage frameworks from paper to practice, growing coverage, improving quality, and automating collection.

Maintain and enhance enterprise metadata, developing business glossaries, data definitions, and ownership frameworks within DataHub.
Identify gaps and ensure metadata changes align with governance processes.
Develop, maintain, and validate end-to-end data lineage for critical data flows, products, reports, and customer journeys across source systems, ETL/ELT pipelines, and downstream consumers.
Support the administration and optimisation of DataHub by configuring ingestion workflows, monitoring metadata ingestion jobs, and identifying opportunities to improve coverage through automation and APIs.
Establish metadata quality rules and KPIs, perform regular assessments to highlight gaps, support data impact assessments, and ensure alignment with enterprise governance policies.
Apply data classification metadata based on sensitivity and regulatory requirements.
Support Risk, Compliance, and InfoSec teams with necessary lineage information for assessments.
Drive the adoption of AI-assisted metadata management to automate capture, classification, and enrichment, and contribute to the development of semantic models and knowledge graphs.
Act as a subject matter expert, facilitating workshops and providing guidance to data producers and consumers to improve overall data literacy and DataHub adoption.

Bachelor’s degree in Computer Science, Information Management, Data Science, Information Systems, Library/Information Science, Engineering, or a related discipline.
3–6+ years of experience in Metadata Management, Data Governance, Data Architecture, or Data Engineering.
Demonstrable hands-on experience with Solidatus, Informatica, DataHub, or a comparable enterprise data catalog platform.
Practical experience developing end-to-end data lineage across complex data environments.
Deep familiarity with modern data architectures (Medallion, Data Mesh, Data Vault 2.0, warehouses, data lakes, cloud platforms).
Strong proficiency working with technical and business metadata, business glossaries, data domains, and data classification.
Experience working with relational databases and a solid understanding of SQL and database structures.
Knowledge of APIs, ETL/ELT pipelines, and automated metadata integration.
Familiarity with AI-assisted metadata management, semantic modelling, ontologies, and knowledge graph concepts.
Strong stakeholder management skills with the ability to facilitate training and influence adoption.

Experience in financial services, fintech, payments, banking, or another highly regulated data environment is highly desirable.
Professional certification in Data Management or Architecture (e.g., DAMA CDMP, CIMP, DCAM) or related platform certifications are advantageous.