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 L5 · Senior Staff Data Engineer
Principal-level authority; shapes standards, methods, architecture or operating practice across a function/domain. The focus is successful individual contribution at this stage, not people management.
Las cinco dimensiones que cambian
- Autonomía
- Defines approaches and exercises significant professional judgment.
- Alcance
- Major domain, platform, portfolio or business capability.
- Complejidad
- Highly complex/systemic problems.
- Influencia
- Influences leaders and sets domain direction.
- Impacto en el negocio
- Strategic domain outcomes and durable organizational capability.
- Ambigüedad
- High; often defines the problem as well as the solution.
Cómo se ve un buen desempeño
Senior Staff Data Engineer consistently demonstrates the expected autonomy and judgment for L5, 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 L5
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.
Humanas21
| Humanas | P | De apoyo |
|---|---|---|
| AccountabilityExecution & Self-Management | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Active listeningCommunication & Language | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| AdaptabilityExecution & Self-Management | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Clear verbal communicationCommunication & Language | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Clear written communicationCommunication & Language | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| CollaborationCollaboration & Relationships | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Continuous learningExecution & Self-Management | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Critical thinkingThinking & Problem Solving | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Cross-functional collaborationCollaboration & Relationships | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Decision makingThinking & Problem Solving | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Executive communicationCommunication & Language | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Influencing without authorityInfluence & Leadership Without Authority | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| ProfessionalismEthics & Professional Conduct | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Strategic thinkingThinking & Problem Solving | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Structured problem solvingThinking & Problem Solving | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Time managementExecution & Self-Management | P6ExpertCentral | Enterprise expert who sets standards, shapes strategy and develops capability across functions. |
| Giving constructive feedbackCommunication & Language | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Knowledge sharingCollaboration & Relationships | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| MentoringCollaboration & Relationships | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| NegotiationInfluence & Leadership Without Authority | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
Profesionales14
| Profesionales | P | De apoyo |
|---|---|---|
| Analytics problem framingData & Analytics Practice | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data classification policyCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data ethicsData & Analytics Practice | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data product managementData & Analytics Practice | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data protection impact assessmentsCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data storytellingData & Analytics Practice | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Resource managementProject, Program & Portfolio Management | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| SAFe / scaled agileAgile, Product & Delivery Methods | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Schedule managementProject, Program & Portfolio Management | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| ScrumAgile, Product & Delivery Methods | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| User story definitionAgile, Product & Delivery Methods | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Value stream managementAgile, Product & Delivery Methods | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
Técnicas14
| Técnicas | P | De apoyo |
|---|---|---|
| Data lake / lakehouse engineeringDatabases & Data Platforms | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data modelingDatabases & Data Platforms | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data pipeline orchestrationDatabases & Data Platforms | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data visualization implementationAnalytics, BI & Data Visualization | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Data warehouse engineeringDatabases & Data Platforms | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Deep learningData Science, ML & AI | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Google Compute EngineCloud Platforms | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Google Kubernetes EngineCloud Platforms | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Python data analysisAnalytics, BI & Data Visualization | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| SQLProgramming Languages | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| SQL analyticsAnalytics, BI & Data Visualization | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| ScalaProgramming Languages | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Supervised learningData Science, ML & AI | P5AdvancedDe apoyo | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Microsoft Excel advanced analyticsAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
Qué cambia al pasar de L5 a L6
Moving from Senior Staff Data Engineer to Principal 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 Principal Data Engineer before promotion; demonstrates the required skill increases; handles systemic, novel and high-consequence challenges.; 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
- Business IntelligenceData & Analytics52 habilidades compartidas
- 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.