Principal Agentic Data Systems Engineer
Core
Architect and maintain a private ecosystem of 10+ autonomous AI agents for ETL, synthetic data generation, automated QA, and predictive modeling to power executive decision-making.
Role type
Principal Agentic Data Systems Engineer (Human-in-the-Loop Orchestrator)
Builds
Autonomous multi-agent data ecosystems and governance frameworks
Domain
AI-driven data engineering and cognitive automation
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, dbt, Airflow, Apache Spark, Snowflake, LangGraph, Prompt Engineering, Model Context Protocol (MCP), Docker, Kubernetes, Data Mesh, Event-Driven Architectures
Preferred skills
Salesforce Core and Data 360, Knowledge Graphs, Semantic layer
Responsibilities
Design multi-step reasoning architectures for agent verification; Transform ambiguous business requirements into production-ready data products; Develop and maintain MCP servers for secure data access; Ensure governance as code for data pipelines and agent development; Review and authorize agent-generated SQL remediations and unit tests for production deployment
Seniority
Principal, hands-on IC with strategic autonomy