Data Context Engineer (f/m/d)
Core
Build scalable data architectures, knowledge graphs, and semantic layers to enable reliable agentic AI systems and enterprise decision-making.
Role type
Senior Data Context Engineer (AI Infrastructure)
Builds
Scalable data foundations, knowledge graphs, and semantic layers for autonomous AI agents.
Domain
Enterprise AI, Agentic Systems, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, data modeling, dbt, Snowflake, LLMs, agentic systems, graph databases
Preferred skills
GraphRAG, vector databases, Data Governance, Master Data Management, MCP, A2A
Technologies
dbt, Snowflake, Python, Knowledge Graphs, Google Workspace SDKs
Responsibilities
Design scalable architectures for context, memory, and tool integration; advise AI labs on context gaps; translate AI research requirements into stable data architectures; model networked data and knowledge models; establish evaluation and benchmark processes for AI data quality.
Seniority
Mid-Senior, hands-on IC