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/Agentic Systems)
Builds
Scalable data foundations, knowledge graphs, semantic views, and AI governance frameworks for autonomous agents.
Domain
Enterprise AI, Agentic Systems, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, data modeling, dbt, Snowflake, LLMs, agentic systems, Knowledge Graphs, Data Governance, vector databases
Preferred skills
GraphRAG, MCP, A2A interaction patterns, Google Workspace SDKs, LLM tracing, lineage tracking (via careerplan.io/jobs/12465-1636424-1-S-data-context-engineer-fmd-at-siemens-ag)
Technologies
dbt, Snowflake, Python, Knowledge Graphs, Google Workspace
Responsibilities
Design and implement robust architectures for context, memory, and tool integration for multi-agent orchestration; Act as an internal consultant to analyze context gaps and develop data-level solutions; Translate AI research requirements into stable, scalable data architectures; Model networked data and knowledge models to create a machine-readable knowledge layer; Establish evaluation and benchmark processes for AI data quality and trustworthiness.
