🕒 yesterday
Build and improve a cloud-based data warehouse for trading and regulatory use cases, contributing across requirements, development, testing, and deployment while collaborating on technical decisions and code quality.
Data Catalog Integration Specialist
📅 Jan 14, 2025
Data GovernanceData CatalogingCollibraData Integration
📜 Description
- Configure and optimize the catalog, maintain source connectors, and validate ingested data for accuracy and completeness.
- Support data stewards and owners with business metadata organization and business-to-technical metadata mapping.
- Create asset views and lineage diagrams, and design workflows to automate governance tasks.
- Implement data governance, security, and quality practices; collaborate with technical teams on scalable improvements.
- Train governance users and work with stakeholders to gather and prioritize technical requirements.
🛠️ Requirements
- Bachelor’s degree in computer science or software engineering, or comparable work experience.
- Proven experience as a Data Catalog Owner or in a related role.
- Comprehensive knowledge of data governance principles, best practices, and compliance standards.
- Experience with databases, ETL processes, data lakes, data pipelines, and cataloging or governance tools such as Collibra.
- Understanding of data architecture, modeling, and integration; experience implementing data lineage and profiling.
- Strong communication and analytical skills, and strong written and spoken English.
✨ Benefits
- 1200€ to equip your home office
- Flex allowance: 720€/year (60€ per month x12)
- Performance bonus
- Health insurance extendable to your household
- Wellbeing program extendable to your household
- Life insurance
- Pension fund
- Smartphone & phone data plan
- Develop the Data Catalog’s technical vision, strategy, and roadmap aligned with data management objectives.
Full job description
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
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