This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Architect Enterprise Data Governance – Design and implement scalable governance frameworks to improve data quality, lineage, compliance, and discoverability across platforms
Lead GCP-Based Data Modernization – Drive cloud data migration and build robust, enterprise-grade data architectures on GCP
Enable Semantic & AI-Driven Discovery – Implement knowledge graphs and GenAI-powered semantic search to enhance data accessibility and insights
Cross-Functional Leadership – Partner with engineering, data, compliance, and business teams to align governance strategy with enterprise objectives
Requirements:
GCP Expertise – Strong hands-on experience with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage, IAM) and cloud-native data architectures
Data Governance & Migration – Proven experience leading enterprise-scale data migration and implementing governance frameworks (metadata, lineage, quality, cataloging)
Knowledge Graphs & Semantic Search – Deep understanding of graph data models, ontology design, RDF/SPARQL, and building semantic discovery solutions
GenAI & AI Enablement – Experience leveraging GenAI/LLMs for data discovery, metadata enrichment, automation, and intelligent search use cases
Python & Automation – Strong Python programming skills for building data pipelines, governance automation, APIs, and workflow orchestration