Data Architecture
Data Architecture is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Architecture
- Nivel más alto
- L7 · Distinguished Data Architect
Para qué existe
Defines enterprise data architecture, models, integration patterns, platform boundaries and governance principles for scalable trusted data products.
Responsabilidades típicas
Deliver data architecture 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 Data Architect → Data Architect → Senior Data Architect → Staff Data Architect → Principal Data Architect → Senior Principal Data Architect → Distinguished Data Architect
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
- L1Associate Data Architect
- L2Data Architect
- L3Senior Data Architect
- L4Staff Data Architect
- L5Principal Data Architect
- L6Senior Principal Data Architect
- L7Distinguished Data Architect
Nivel distinguido opcional. No todas las carreras llegan acá.
Qué se espera en L4 · Staff Data Architect
Apply data architecture capability at leads ambiguous cross-team work through expertise without people management.
Las cinco dimensiones que cambian
- Autonomía
- Cross-team technical/professional leadership
- Alcance
- Leads ambiguous cross-team work through expertise without people management.
- Complejidad
- Complex
- Influencia
- Multiple teams
- Impacto en el negocio
- Domain/cross-team
- Ambigüedad
- High
Cómo se ve un buen desempeño
Produces trustworthy data architecture outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L4.
Evidencia típica
Completed data architecture work products or production outcomes; documented decisions; measurable improvements in quality, reliability, risk, speed, cost or business outcomes; peer/stakeholder evidence of L4 scope.
Habilidades esperadas en L4
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 | P4ProficientDe apoyo | Adapts Clear verbal communication to complex situations and guides peers in applying it consistently. |
| Clear written communicationCommunication & Language | P4ProficientDe apoyo | Adapts Clear written communication to complex situations and guides peers in applying it consistently. |
| CollaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Collaboration to complex situations and guides peers in applying it consistently. |
| Critical thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Critical thinking to complex situations and guides peers in applying it consistently. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Cross-functional collaboration to complex situations and guides peers in applying it consistently. |
| Learning agilityExecution & Self-Management | P4ProficientDe apoyo | Adapts Learning agility to complex situations and guides peers in applying it consistently. |
| MentoringCollaboration & Relationships | P4ProficientDe apoyo | Adapts Mentoring to complex situations and guides peers in applying it consistently. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientDe apoyo | Adapts Stakeholder alignment to complex situations and guides peers in applying it consistently. |
| Strategic thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Strategic thinking to complex situations and guides peers in applying it consistently. |
| Structured problem solvingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Structured problem solving to complex situations and guides peers in applying it consistently. |
Profesionales8
| Profesionales | P | De apoyo |
|---|---|---|
| Architecture governanceIT Service Management & Governance | P4ProficientDe apoyo | Adapts Architecture governance to complex situations and guides peers in applying it consistently. |
| Data contracts governanceData & Analytics Practice | P4ProficientDe apoyo | Adapts Data contracts governance to complex situations and guides peers in applying it consistently. |
| Data governanceCybersecurity, Privacy & Data Governance Standards | P4ProficientCentral | Adapts Data governance to complex situations and guides peers in applying it consistently. |
| Data mesh operating modelData & Analytics Practice | P4ProficientDe apoyo | Adapts Data mesh operating model to complex situations and guides peers in applying it consistently. |
| Data product managementData & Analytics Practice | P4ProficientCentral | Adapts Data product management to complex situations and guides peers in applying it consistently. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P4ProficientCentral | Adapts Data quality management to complex situations and guides peers in applying it consistently. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P4ProficientCentral | Adapts Data stewardship to complex situations and guides peers in applying it consistently. |
| Technology governanceIT Service Management & Governance | P4ProficientDe apoyo | Adapts Technology governance to complex situations and guides peers in applying it consistently. |
Técnicas13
| Técnicas | P | De apoyo |
|---|---|---|
| Apache KafkaDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Apache Kafka implementations, optimizes outcomes and guides peers. |
| Apache SparkDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Apache Spark implementations, optimizes outcomes and guides peers. |
| Data catalog platformsDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Data catalog platforms implementations, optimizes outcomes and guides peers. |
| Data contract implementationDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Data contract implementation implementations, optimizes outcomes and guides peers. |
| Data lake / lakehouse engineeringDatabases & Data Platforms | P4ProficientCentral | Handles complex Data lake / lakehouse engineering implementations, optimizes outcomes and guides peers. |
| Data lineage toolingDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Data lineage tooling implementations, optimizes outcomes and guides peers. |
| Data mesh architectureDatabases & Data Platforms | P4ProficientCentral | Handles complex Data mesh architecture implementations, optimizes outcomes and guides peers. |
| Data modelingDatabases & Data Platforms | P4ProficientCentral | Handles complex Data modeling implementations, optimizes outcomes and guides peers. |
| Data warehouse engineeringDatabases & Data Platforms | P4ProficientCentral | Handles complex Data warehouse engineering implementations, optimizes outcomes and guides peers. |
| DatabricksDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex Databricks implementations, optimizes outcomes and guides peers. |
| ER modelingArchitecture & Modeling Tools | P4ProficientCentral | Handles complex ER modeling implementations, optimizes outcomes and guides peers. |
| Semantic layer engineeringAnalytics, BI & Data Visualization | P4ProficientCentral | Handles complex Semantic layer engineering implementations, optimizes outcomes and guides peers. |
| Solution architecture diagramsArchitecture & Modeling Tools | P4ProficientDe apoyo | Handles complex Solution architecture diagrams implementations, optimizes outcomes and guides peers. |
Qué cambia al pasar de L4 a L5
Moving from Staff Data Architect to Principal Data Architect 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 L5-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.
- Analytics EngineeringData & Analytics21 habilidades compartidas
- AI Platform & MLOps EngineeringData & Analytics14 habilidades compartidas
- Data EngineeringData & Analytics15 habilidades compartidas
- AI Governance & Responsible AIData & Analytics12 habilidades compartidas
- Data AnalyticsData & Analytics15 habilidades compartidas
- Business IntelligenceData & Analytics15 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.