Metadata & Data Lineage Specialist at Moniepoint Inc.

About this role

• We are looking for a Metadata & Data Lineage Specialist to build out and run the organization's metadata management and data lineage capabilities.
• You will be the person who makes our data catalogue genuinely useful — helping teams find, trust, and understand the data they are working with, and tracing exactly how that data moves and transforms across our systems.
• You will take our metadata management and data lineage frameworks from paper to practice: growing coverage, improving quality, automating collection wherever possible, and building lineage that holds up for our most critical data products, regulatory submissions, and business-critical flows.

Responsibilities

• Metadata Management & Data Cataloguing: 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.
• Data Lineage Management: 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.
• DataHub Platform & Integration: Support the administration and optimisation of DataHub. Configure ingestion workflows, monitor metadata ingestion jobs, and identify opportunities to improve coverage through automation and APIs.
• Metadata Quality & Governance: Establish metadata quality rules and KPIs. Perform regular assessments to highlight gaps, support data impact assessments, and ensure alignment with enterprise governance policies.
• Data Classification & Privacy: Apply data classification metadata based on sensitivity and regulatory requirements. Support Risk, Compliance, and InfoSec teams with necessary lineage information for assessments.
• AI & Advanced Data Discovery: Drive the adoption of AI-assisted metadata management to automate capture, classification, and enrichment. Contribute to the development of semantic models and knowledge graphs.
• Stakeholder Engagement: Act as a subject matter expert, facilitating workshops and providing guidance to data producers and consumers to improve overall data literacy and DataHub adoption.

Experience & Background

• 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).
• Experience in financial services, fintech, payments, banking, or another highly regulated data environment is highly desirable.

Skills & Competencies:

• 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.
• Professional certification in Data Management or Architecture (e.g., DAMA CDMP, CIMP, DCAM) or related platform certifications are advantageous.

What success looks like in this role

• The enterprise data catalogue is accurate, easily discoverable, and heavily utilised by cross-functional teams to understand data assets.
• End-to-end data lineage is robust, validated, and actively supports critical data products, regulatory submissions, and incident investigations.
• Metadata collection is highly automated, maintaining strict quality standards and governance controls with minimal manual intervention.
• Data literacy and platform adoption (DataHub) scale across the organisation through effective stakeholder enablement.

What we can offer you

• Culture -We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical interview with the hiring manager
• A behavioural and technical interview with a member of the Executive team.