Data Engineering
Data Engineering is an individual-contributor career path within Data & Analytics. Professionals progress from guided execution to independent delivery, senior problem solving, cross-team leadership and enterprise-level expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Engineering
- Nivel más alto
- L7 · Distinguished Data Engineer
Para qué existe
Enables the organization to deliver reliable outcomes in data engineering by building progressively deeper expertise, judgment, ownership and business impact.
Responsabilidades típicas
Execute discipline-specific work; apply professional standards; solve increasingly complex problems; collaborate with stakeholders; improve quality and efficiency; share expertise; at senior levels, shape practices and decisions beyond the immediate team.
Dónde se trabaja
Common in Data & Analytics teams across technology companies, shared-services organizations, consulting firms, multinational operations and other employers that require data engineering capability.
Cómo avanza la carrera
Associate Data Engineer → Data Engineer → Senior Data Engineer → Staff Data Engineer → Senior Staff Data Engineer → Principal Data Engineer → Distinguished Data Engineer
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
- L1Associate Data Engineer
- L2Data Engineer
- L3Senior Data Engineer
- L4Staff Data Engineer
- L5Senior Staff Data Engineer
- L6Principal Data Engineer
- L7Distinguished Data Engineer
Nivel distinguido opcional. No todas las carreras llegan acá.
Qué se espera en L3 · Senior Data Engineer
Handles complex work; mentors others and influences team-level outcomes. The focus is successful individual contribution at this stage, not people management.
Las cinco dimensiones que cambian
- Autonomía
- Operates independently on complex work and mentors others.
- Alcance
- Projects, services or a meaningful domain.
- Complejidad
- Complex problems requiring analysis and trade-offs.
- Influencia
- Influences team decisions and multiple stakeholders.
- Impacto en el negocio
- Improves team outcomes, quality and execution.
- Ambigüedad
- Moderate.
Cómo se ve un buen desempeño
Senior Data Engineer consistently demonstrates the expected autonomy and judgment for L3, delivers outcomes appropriate to the scope of the role, applies required Human, Professional and Technical skills at the mapped proficiency, and produces evidence of impact rather than relying on tenure alone.
Evidencia típica
Completed work with measurable quality/outcome; stakeholder feedback; examples of problems solved and decisions made; reusable artifacts or improvements; demonstrated skill proficiency; mentoring/influence evidence at senior levels.
Habilidades esperadas en L3
Agrupadas en humanas, profesionales y técnicas. La proficiencia meta usa la escala P1–P7, y cada fila dice qué significa ese nivel para esa habilidad.
Humanas15
| Humanas | P | De apoyo |
|---|---|---|
| AccountabilityExecution & Self-Management | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Active listeningCommunication & Language | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| AdaptabilityExecution & Self-Management | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Clear verbal communicationCommunication & Language | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Clear written communicationCommunication & Language | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| CollaborationCollaboration & Relationships | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Continuous learningExecution & Self-Management | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Critical thinkingThinking & Problem Solving | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Decision makingThinking & Problem Solving | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| ProfessionalismEthics & Professional Conduct | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Structured problem solvingThinking & Problem Solving | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Time managementExecution & Self-Management | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Giving constructive feedbackCommunication & Language | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
Profesionales10
| Profesionales | P | De apoyo |
|---|---|---|
| Data ethicsData & Analytics Practice | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Data product managementData & Analytics Practice | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Data protection impact assessmentsCybersecurity, Privacy & Data Governance Standards | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Data storytellingData & Analytics Practice | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Schedule managementProject, Program & Portfolio Management | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| ScrumAgile, Product & Delivery Methods | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| User story definitionAgile, Product & Delivery Methods | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Value stream managementAgile, Product & Delivery Methods | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
Técnicas9
| Técnicas | P | De apoyo |
|---|---|---|
| Data modelingDatabases & Data Platforms | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Data pipeline orchestrationDatabases & Data Platforms | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Data visualization implementationAnalytics, BI & Data Visualization | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Data warehouse engineeringDatabases & Data Platforms | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Google Kubernetes EngineCloud Platforms | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| Python data analysisAnalytics, BI & Data Visualization | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| SQL analyticsAnalytics, BI & Data Visualization | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
| ScalaProgramming Languages | P3WorkingCentral | Applies the skill independently in normal and moderately complex situations. |
| Supervised learningData Science, ML & AI | P3WorkingDe apoyo | Applies the skill independently in normal and moderately complex situations. |
Qué cambia al pasar de L3 a L4
Moving from Senior Data Engineer to Staff Data Engineer means demonstrating sustained performance at a larger scope with greater autonomy, complexity, influence and business impact—not simply spending more time in role.
Cómo se demuestra que ya estás
Repeatedly performs key aspects of Staff Data Engineer before promotion; demonstrates the required skill increases; handles high complexity, dependencies and competing constraints.; receives credible stakeholder evidence; shows measurable outcomes at the next-level scope.
Cómo prepararse
Take stretch assignments at the next-level scope; deepen the listed skill gaps; seek feedback from experienced practitioners; document measurable outcomes and decisions; mentor/share knowledge where appropriate; pursue relevant learning or certification when it strengthens capability.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
- Data AnalyticsData & Analytics52 habilidades compartidas
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- Data ScienceData & Analytics50 habilidades compartidas
- AI / Generative AI EngineeringData & Analytics50 habilidades compartidas
- Machine Learning EngineeringData & Analytics47 habilidades compartidas
- Data Governance & StewardshipData & Analytics44 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.