Lead 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
Lead Agentic Data Systems Engineer (hands-on IC)
Builds
Production-grade data products and autonomous multi-agent ecosystems
Domain
AI/ML, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, dbt, Airflow, Apache Spark, Snowflake, LangGraph, Prompt Engineering, Docker, Kubernetes, Model Context Protocol (MCP)
Preferred skills
Data Mesh, Data-as-a-Product, Event-Driven Architectures, Knowledge Graphs, Generative AI workflows
Technologies
Python, dbt, Airflow, Apache Spark, Snowflake, LangGraph, Docker, Kubernetes, AWS, Tableau
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; Build self-healing digital immune systems via Red-Team agents; Orchestrate agentic fleets for complex simulations and analysis.
Seniority
Senior, hands-on IC