{
"name": "data-engineering-large",
"description": "Full data platform team with analytics engineering, governance, and ML operations",
"domain": "data-engineering",
"size": "large",
"version": "1.0.0",
"agents": [
{
"agent_key": "data-engineer",
"name": "Data Engineer",
"role": "Data Engineer",
"goal": "Build and maintain reliable data pipelines and ETL processes",
"domain": "data-engineering",
"tools": ["sql_analysis", "pipeline_validation"],
"complexity": "medium"
},
{
"agent_key": "data-analyst",
"name": "Data Analyst",
"role": "Data Analyst",
"goal": "Analyze datasets, generate insights, and validate data quality",
"domain": "data-engineering",
"tools": ["data_profiling", "statistical_analysis"],
"complexity": "medium"
},
{
"agent_key": "ml-ops-engineer",
"name": "ML Ops Engineer",
"role": "ML Ops Engineer",
"goal": "Manage model training pipelines, versioning, and deployment infrastructure",
"domain": "data-engineering",
"tools": ["pipeline_validation", "monitoring"],
"complexity": "high"
},
{
"agent_key": "data-quality-engineer",
"name": "Data Quality Engineer",
"role": "Data Quality Engineer",
"goal": "Define and enforce data quality rules, detect anomalies, and validate schema evolution",
"domain": "data-engineering",
"tools": ["data_profiling", "sql_analysis"],
"complexity": "high"
},
{
"agent_key": "analytics-engineer",
"name": "Analytics Engineer",
"role": "Analytics Engineer",
"goal": "Build and maintain dimensional models, metrics layers, and BI transforms",
"domain": "data-engineering",
"tools": ["sql_analysis", "data_profiling"],
"complexity": "medium"
},
{
"agent_key": "data-governance-lead",
"name": "Data Governance Lead",
"role": "Data Governance Lead",
"goal": "Enforce data cataloging, lineage tracking, and access control policies",
"domain": "data-engineering",
"tools": ["data_profiling", "static_analysis"],
"complexity": "high"
}
]
}