Learning & Knowledge Specialist (Data Platform) - temporary
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Amsterdam |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Bart Wattel +31620732086 |
Informatie
As a Learning & Knowledge Specialist, your ultimate goal is to make technical knowledge accessible, accelerate onboarding, and foster a sustainable culture of self-sufficiency.
- Knowledge Base Architecture: Design, build, and maintain a structured, accessible knowledge repository covering the data platform, architecture standards, processes, roles, and responsibilities.
- Onboarding & Learning Paths: Develop role-based onboarding journeys, tutorials, how-to guides, FAQs, and practical playbooks for data engineers, data product owners, and business analysts.
- Data Mesh Guidance: Translate Data Mesh principles—such as domain data ownership, data as a product, federated computational governance, and self-serve data infrastructure—into clear, actionable guidance.
- Community Enablement: Facilitate knowledge-sharing sessions, capture best practices and lessons learned, and connect technical experts with business data teams.
- Continuous Content Improvement: Identify knowledge gaps, gather user feedback, and continuously update knowledge resources to align with platform releases and evolving governance.
Omschrijving
As a Learning & Knowledge Specialist, your ultimate goal is to make technical knowledge accessible, accelerate onboarding, and foster a sustainable culture of self-sufficiency.
- Knowledge Base Architecture: Design, build, and maintain a structured, accessible knowledge repository covering the data platform, architecture standards, processes, roles, and responsibilities.
- Onboarding & Learning Paths: Develop role-based onboarding journeys, tutorials, how-to guides, FAQs, and practical playbooks for data engineers, data product owners, and business analysts.
- Data Mesh Guidance: Translate Data Mesh principles—such as domain data ownership, data as a product, federated computational governance, and self-serve data infrastructure—into clear, actionable guidance.
- Community Enablement: Facilitate knowledge-sharing sessions, capture best practices and lessons learned, and connect technical experts with business data teams.
- Continuous Content Improvement: Identify knowledge gaps, gather user feedback, and continuously update knowledge resources to align with platform releases and evolving governance.
Functie eisen
- Proven track record in knowledge management, instructional design, technical documentation, or organizational enablement within tech/data environments.
- Demonstrated ability to build structured knowledge repositories (e.g., Confluence, SharePoint) and engaging, practical learning materials.
- Data Domain Understanding: solid understanding of data management, data platforms, and core Data Mesh concepts (data products, domain ownership, data governance).
- Experience working inside large-scale technology transformations or organizational change management programs.
- Strong communication skills and the ability to extract complex information from technical experts (architects, data engineers) and translate it for business audiences.
- Exceptional written and verbal communication skills in English.
- Analytical mindset with a knack for simplifying complex architectures into step-by-step guidance.
- Proactive community builder who encourages continuous learning and peer-to-peer knowledge sharing.