18 days ago
Base Salary
$106k - $199k/yr
Responsibilities
- Design and implement semantic layer architectures using tools such as LookML and dbt.
- Build knowledge graph schemas and implement GraphRAG patterns for contextual AI retrieval.
- Define versioned context contracts, governed datasets, semantic objects, and metric definitions.
- Lead technical workshops that encode enterprise knowledge into machine-readable forms.
- Evaluate and configure graph databases, vector stores, and embedding pipelines.
- Partner with AI engineering teams to integrate context layers into agentic and AI workflows.
- Own defined client-delivery workstreams end to end and contribute to internal knowledge and practice assets.
Requirements
- 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 technologies.
- Experience designing and working with knowledge graphs; Neo4j is preferred.
- Familiarity with LLM integration patterns including RAG, embedding pipelines, and vector stores.
- Ability to translate business semantics into formal, well-governed technical specifications.
- Strong AI and generative AI literacy, including responsible AI principles such as ethics, privacy, security, and governance.
- Preferred experience with BigQuery or Snowflake, governance and catalog tools such as Collibra or Atlan, and applied AI or agentic architectures.
Benefits
- Base compensation is listed at $105,600–$199,480, with possible additional variable compensation, bonuses, or commissions.
- Benefits for regular full-time employees may include 12–25 vacation days based on grade, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.
- Benefits vary by local policy and eligibility in the U.S. and Canada.
Tech Stack
dbtGoogle BigQueryNeo4jSnowflake
Categories
Data EngineeringForward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.