Data Catalog Integration Specialist

LisbonHybridFull-time

AI Summary

Leads the technical vision, configuration, integration and governance of the enterprise Data Catalog, including connectors, metadata mapping, lineage and workflow automation. Onboards governance roles and works with engineers, architects and stakeholders.

About this role

You’ll be focused in

• Developing and communicating a technical vision, strategy, and roadmap for the Data Catalog, ensuring alignment with the organization's data management objectives

• Leading the technical development, configuration, optimization, and the integration with different data sources and embedding data governance policies and workflows

• Setting up and maintaining connectors and integrations to ensure seamless ingestion of data from various sources into the Data Catalog

• Validating that the data ingested from source systems is accurate, complete, and reflects its original structure.

Supporting key governance roles (e.g., Data Stewards, Data Owners) by assisting with the ingestion and organization of business metadata

• Mapping and establish relationships between business and technical metadata, ensuring a clear hierarchy and alignment.

• Creating and managing custom views of assets, including business and technical lineage diagrams, to enhance usability and transparency

• Designing and implementing workflows to automate repetitive tasks and improve operational efficiency.

• Onboarding and training individuals in key governance roles, ensuring they can effectively use the Data Catalog to fulfill their responsibilities

• Implementing and enforcing data governance practices, data security measures, and data quality assurance within the Data Catalog

• Working closely with technical teams to implement features and improvements, ensuring scalability and integration with the organization’s technology stack

In order to succeed, you’ll need

• Bachelor's degree in computer science, software engineering, or comparable work experience

• Proven experience working as a Data Catalog Owner or related role

• Comprehensive knowledge of Data Governance principles, best practices, and compliance standards is mandatory

• In-depth experience with data technologies, including databases, ETL processes, data lakes, data pipelines and leading data cataloging tools (e.g., Collibra) or related Data Governance tools

• Strong understanding of data architecture, data modeling, and data integration

• Working experience in implementing and managing Data Lineage (tracking the flow of data across systems) and Data Profiling (analyzing data quality, structure, and content) to ensure data transparency and quality

• Ability to collaborate with the Product Owner and work closely with data engineers, architects, data scientists, and business stakeholders to gather and prioritize technical requirements.

• Strong communication and analytical skills

• Great English skills, both written and spoken

Skills

CollibraData ArchitectureData CatalogData GovernanceData IntegrationData LakesData LineageData ModelingData PipelinesData ProfilingETLMetadata ManagementWorkflow Automation