Capgemini Invent - Contextual Systems Engineer Senior Consultant
AI summary of the role
Senior Consultant role on Capgemini Invent's Data Driven Transformation team, owning end-to-end workstreams in AI and data-driven transformation.
What you’ll do
- Design and implement semantic layer architectures end-to-end (LookML, dbt metrics, ontologies)
- Build knowledge graph schemas and implement GraphRAG patterns for contextual AI retrieval
- Define context contracts including versioned semantic objects and governed datasets
- Lead technical workshops to extract and encode enterprise knowledge into machine-readable forms
What you’ll bring
- 5–6 years of experience in data engineering, data architecture, or knowledge management
- Hands-on expertise with semantic layer tooling such as LookML, dbt, or equivalent
- Experience designing and working with knowledge graphs (Neo4j preferred)
- Familiarity with modern LLM integration patterns including RAG, embedding pipelines, and vector stores
Technologies
LookML · dbt · knowledge graphs · Neo4j · GraphRAG · RAG · embedding pipelines · vector stores · BigQuery · Snowflake · Collibra · Atlan
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