PMTS - Principal Agentic Data Engineer
Core
Architect and maintain a private ecosystem of 10+ autonomous AI agents to execute high-complexity data engineering, QA, governance, and analytics workflows, acting as a Human-in-the-Loop Orchestrator for a digital workforce.
Role type
Principal Agentic Data Systems Engineer
Builds
Autonomous multi-agent ecosystems for data pipelines, synthetic data generation, automated QA, and predictive modeling.
Domain
AI-driven data engineering and cognitive automation within the CRM industry.
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, dbt, Apache Spark, Snowflake, LangGraph, Prompt Engineering, Model Context Protocol (MCP), Docker, Kubernetes, Data Mesh, Knowledge Graphs
Preferred skills
Generative AI tool usage (Cursor, Codex, Claude Code), Chain-of-thought prompting, Event-Driven Architectures, Salesforce Core and Data 360
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 defensive systems (Red-Team Agents) to identify logic flaws; Orchestrate agentic fleets for complex simulations and executive dashboards.
Seniority
Principal, hands-on IC with strategic autonomy