@sparring/tech-roles-library
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Comprehensive tech roles and competencies library for 78 technical roles with 9 career levels each. Includes detailed competencies and career progression paths with complete bilingual support (EN/ES).
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{
"role": "Data Quality Engineer",
"category": "Data",
"levels": {
"DQE-L1": {
"level": "L1 - DQ Trainee",
"levelNumber": 1,
"yearsRange": {
"min": 0,
"max": 1
},
"coreCompetencies": [
"Basic knowledge of data quality",
"Elementary understanding of data profiling",
"Ability to execute simple validations",
"Basic knowledge of anomaly detection",
"Ability to document issues",
"Understanding of data quality dimensions",
"Manual quality testing",
"Elementary knowledge of data cleansing"
],
"complementaryCompetencies": [
"Familiarity with basic SQL",
"Knowledge of data quality tools",
"Elementary understanding of statistics"
],
"indicators": [
"Requires constant supervision",
"Identifies basic issues",
"Is learning DQ"
]
},
"DQE-L2": {
"level": "L2 - Junior DQ Engineer",
"levelNumber": 2,
"yearsRange": {
"min": 1,
"max": 2
},
"coreCompetencies": [
"Ability to implement data quality rules",
"Implementation of complete validations",
"Practical knowledge of DQ frameworks",
"Ability to perform automated testing",
"Understanding of data lineage",
"Ability to detect anomalies",
"Knowledge of monitoring",
"Ability to create DQ reporting"
],
"complementaryCompetencies": [
"Knowledge of Great Expectations",
"Ability to perform scripting",
"Understanding of data observability"
],
"indicators": [
"Implements DQ rules with supervision",
"Detects anomalies",
"Maintains DQ metrics"
]
},
"DQE-L3": {
"level": "L3 - Data Quality Engineer",
"levelNumber": 3,
"yearsRange": {
"min": 2,
"max": 3
},
"coreCompetencies": [
"Design of DQ frameworks",
"Implementation of automated DQ pipelines",
"Mastery of data profiling",
"Ability to perform root cause analysis",
"Ability to implement DQ governance",
"Deep knowledge of validation strategies",
"Implementation of alerting",
"Ability to communicate with stakeholders"
],
"complementaryCompetencies": [
"Knowledge of data catalogs",
"Ability to manage metadata",
"Understanding of data contracts"
],
"indicators": [
"Leads DQ projects",
"Designs quality frameworks",
"Mentors in DQ"
]
},
"DQE-L4": {
"level": "L4 - Senior DQ Engineer",
"levelNumber": 4,
"yearsRange": {
"min": 3,
"max": 5
},
"coreCompetencies": [
"Architecture of DQ platforms",
"Design of enterprise DQ strategy",
"Implementation of DQ at scale",
"Mastery of ML-based DQ",
"Ability to perform cost-benefit analysis",
"Deep knowledge of regulatory DQ",
"Ability to build DQ culture",
"Leadership in DQ transformation"
],
"complementaryCompetencies": [
"Experience in data observability platforms",
"Knowledge of DataOps",
"Implementation of self-service DQ"
],
"indicators": [
"Defines DQ strategy",
"Leads DQ teams",
"Is reference in data quality"
]
},
"DQE-L5": {
"level": "L5 - Lead DQ Engineer",
"levelNumber": 5,
"yearsRange": {
"min": 5,
"max": 7
},
"coreCompetencies": [
"Technical leadership in data quality",
"Design of DQ ecosystems",
"Management of DQ teams",
"Definition of DQ standards",
"Ability to measure DQ ROI",
"Implementation of DQ governance",
"Mastery of cross-functional DQ",
"Evangelization of data quality"
],
"complementaryCompetencies": [
"Experience in data mesh DQ",
"Knowledge of DQ economics",
"Management of DQ tools"
],
"indicators": [
"Manages DQ team",
"Defines quality vision",
"Represents DQ to stakeholders"
]
},
"DQE-L6": {
"level": "L6 - Principal DQ Architect",
"levelNumber": 6,
"yearsRange": {
"min": 7,
"max": 10
},
"coreCompetencies": [
"Direction of corporate DQ strategy",
"Management of DQ programs at scale",
"Definition of DQ architecture",
"Leadership in DQ transformation",
"Management of data quality incidents",
"Implementation of global DQ",
"Innovation in DQ technologies",
"Management of DQ compliance"
],
"complementaryCompetencies": [
"Experience in DQ M&A",
"Knowledge of DQ investment",
"Leadership in DQ community"
],
"indicators": [
"Directs DQ department",
"Participates in data strategy",
"Defines DQ investments"
]
},
"DQE-L7": {
"level": "L7 - Director Data Quality",
"levelNumber": 7,
"yearsRange": {
"min": 10,
"max": 12
},
"coreCompetencies": [
"Executive leadership in data quality",
"Design of global DQ strategies",
"Organizational transformation via DQ",
"Management at Fortune 500 scale",
"Creation of quality-first culture",
"Definition of DQ roadmap",
"Evangelization at board level",
"Influence on DQ standards"
],
"complementaryCompetencies": [
"Management of DQ budgets",
"Experience in data-driven companies",
"Leadership in data consortiums"
],
"indicators": [
"Reports to CDO",
"Manages DQ organization (20+ people)",
"Defines DQ strategy"
]
},
"DQE-L8": {
"level": "L8 - VP Data Quality",
"levelNumber": 8,
"yearsRange": {
"min": 12,
"max": 15
},
"coreCompetencies": [
"Strategic vision of data quality",
"Leadership in DQ revolution",
"Creation of quality advantage",
"Management of DQ ecosystems",
"Disruptive innovation in DQ",
"Definition of autonomous DQ",
"Evangelization of quality-driven",
"Influence on data policies"
],
"complementaryCompetencies": [
"Experience in DQ giants",
"Advisory in DQ startups",
"Thought leadership in DQ"
],
"indicators": [
"Is part of executive committee",
"Defines DQ strategy",
"Is recognized leader"
]
},
"DQE-L9": {
"level": "L9 - Chief Data Quality Officer",
"levelNumber": 9,
"yearsRange": {
"min": 15,
"max": null
},
"coreCompetencies": [
"Visionary leadership in data quality",
"Transformation of quality paradigms",
"Creation of trusted data",
"Definition of quality-native organizations",
"Innovation in DQ governance",
"Evangelization of data trust",
"Architect of DQ ecosystems",
"Influence on data regulation"
],
"complementaryCompetencies": [
"Experience transforming Fortune 500",
"Recognition as DQ pioneer",
"Influence on standards"
],
"indicators": [
"Is Chief DQ Officer",
"Defines future of data quality",
"Is world authority"
]
}
}
}