Analytics Engineering
Analytics Engineering is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Engineering
- Nivel más alto
- L6 · Principal Analytics Engineer
Para qué existe
Transforms modeled data into governed analytical datasets, semantic models and trusted metrics for self-service analytics.
Responsabilidades típicas
Deliver analytics engineering outcomes; apply data/AI standards; manage quality, reliability and risk; collaborate across product, engineering, security, legal and business teams; at senior levels shape enterprise standards and strategy.
Dónde se trabaja
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
Cómo avanza la carrera
Associate Analytics Engineer → Analytics Engineer → Senior Analytics Engineer → Staff Analytics Engineer → Senior Staff Analytics Engineer → Principal Analytics Engineer
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
Qué se espera en L5 · Senior Staff Analytics Engineer
Apply analytics engineering capability at shapes standards, architecture or operating practice across a broad domain.
Las cinco dimensiones que cambian
- Autonomía
- Domain-wide authority
- Alcance
- Shapes standards, architecture or operating practice across a broad domain.
- Complejidad
- Systemic
- Influencia
- Enterprise / industry
- Impacto en el negocio
- Enterprise / industry
- Ambigüedad
- High
Cómo se ve un buen desempeño
Produces trustworthy analytics engineering outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L5.
Evidencia típica
Completed analytics engineering work products or production outcomes; documented decisions; measurable improvements in quality, reliability, risk, speed, cost or business outcomes; peer/stakeholder evidence of L5 scope.
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.
Humanas10
| Humanas | P | De apoyo |
|---|---|---|
| Clear verbal communicationCommunication & Language | P5AdvancedDe apoyo | Defines advanced approaches for Clear verbal communication and shapes standards across a domain. |
| Clear written communicationCommunication & Language | P5AdvancedDe apoyo | Defines advanced approaches for Clear written communication and shapes standards across a domain. |
| CollaborationCollaboration & Relationships | P5AdvancedDe apoyo | Defines advanced approaches for Collaboration and shapes standards across a domain. |
| Critical thinkingThinking & Problem Solving | P5AdvancedDe apoyo | Defines advanced approaches for Critical thinking and shapes standards across a domain. |
| Cross-functional collaborationCollaboration & Relationships | P5AdvancedDe apoyo | Defines advanced approaches for Cross-functional collaboration and shapes standards across a domain. |
| Learning agilityExecution & Self-Management | P5AdvancedDe apoyo | Defines advanced approaches for Learning agility and shapes standards across a domain. |
| MentoringCollaboration & Relationships | P5AdvancedDe apoyo | Defines advanced approaches for Mentoring and shapes standards across a domain. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P5AdvancedDe apoyo | Defines advanced approaches for Stakeholder alignment and shapes standards across a domain. |
| Strategic thinkingThinking & Problem Solving | P5AdvancedDe apoyo | Defines advanced approaches for Strategic thinking and shapes standards across a domain. |
| Structured problem solvingThinking & Problem Solving | P5AdvancedDe apoyo | Defines advanced approaches for Structured problem solving and shapes standards across a domain. |
Profesionales7
| Profesionales | P | De apoyo |
|---|---|---|
| Analytics problem framingData & Analytics Practice | P5AdvancedCentral | Defines advanced approaches for Analytics problem framing and shapes standards across a domain. |
| Data contracts governanceData & Analytics Practice | P5AdvancedDe apoyo | Defines advanced approaches for Data contracts governance and shapes standards across a domain. |
| Data governanceCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Defines advanced approaches for Data governance and shapes standards across a domain. |
| Data product managementData & Analytics Practice | P5AdvancedDe apoyo | Defines advanced approaches for Data product management and shapes standards across a domain. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P5AdvancedDe apoyo | Defines advanced approaches for Data quality management and shapes standards across a domain. |
| KPI designData & Analytics Practice | P5AdvancedCentral | Defines advanced approaches for KPI design and shapes standards across a domain. |
| Metrics definitionData & Analytics Practice | P5AdvancedCentral | Defines advanced approaches for Metrics definition and shapes standards across a domain. |
Técnicas12
| Técnicas | P | De apoyo |
|---|---|---|
| Apache SparkDatabases & Data Platforms | P5AdvancedDe apoyo | Designs advanced approaches using Apache Spark and establishes reusable patterns across teams. |
| Dashboard developmentAnalytics, BI & Data Visualization | P5AdvancedCentral | Designs advanced approaches using Dashboard development and establishes reusable patterns across teams. |
| Data catalog platformsDatabases & Data Platforms | P5AdvancedDe apoyo | Designs advanced approaches using Data catalog platforms and establishes reusable patterns across teams. |
| Data contract implementationDatabases & Data Platforms | P5AdvancedDe apoyo | Designs advanced approaches using Data contract implementation and establishes reusable patterns across teams. |
| Data lineage toolingDatabases & Data Platforms | P5AdvancedDe apoyo | Designs advanced approaches using Data lineage tooling and establishes reusable patterns across teams. |
| Data modelingDatabases & Data Platforms | P5AdvancedCentral | Designs advanced approaches using Data modeling and establishes reusable patterns across teams. |
| Data visualization implementationAnalytics, BI & Data Visualization | P5AdvancedDe apoyo | Designs advanced approaches using Data visualization implementation and establishes reusable patterns across teams. |
| DatabricksDatabases & Data Platforms | P5AdvancedDe apoyo | Designs advanced approaches using Databricks and establishes reusable patterns across teams. |
| Dimensional modelingDatabases & Data Platforms | P5AdvancedCentral | Designs advanced approaches using Dimensional modeling and establishes reusable patterns across teams. |
| SQL analyticsAnalytics, BI & Data Visualization | P5AdvancedCentral | Designs advanced approaches using SQL analytics and establishes reusable patterns across teams. |
| Semantic layer engineeringAnalytics, BI & Data Visualization | P5AdvancedCentral | Designs advanced approaches using Semantic layer engineering and establishes reusable patterns across teams. |
| dbtDatabases & Data Platforms | P5AdvancedCentral | Designs advanced approaches using dbt and establishes reusable patterns across teams. |
Qué cambia al pasar de L5 a L6
Moving from Senior Staff Analytics Engineer to Principal Analytics Engineer means greater autonomy, complexity, scope, influence and evidence of impact—not simply more tools.
Cómo se demuestra que ya estás
Sustained evidence of operating at L6-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
Cómo prepararse
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
- Data ArchitectureData & Analytics21 habilidades compartidas
- AI Governance & Responsible AIData & Analytics12 habilidades compartidas
- AI Platform & MLOps EngineeringData & Analytics12 habilidades compartidas
- Data AnalyticsData & Analytics15 habilidades compartidas
- Business IntelligenceData & Analytics15 habilidades compartidas
- Data EngineeringData & Analytics15 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.