Data Catalog Integration Specialist

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