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Data Architecture

Data Architecture is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.

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.

  1. L1Associate Data Architect
  2. L2Data Architect
  3. L3Senior Data Architect
  4. L4Staff Data Architect
  5. L5Principal Data Architect
  6. L6Senior Principal Data Architect
  7. L7Distinguished Data Architect

Nivel distinguido opcional. No todas las carreras llegan acá.

Qué se espera en L5 · Principal Data Architect

Apply data architecture 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 data architecture outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L5.

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 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

HumanasPDe apoyo
Clear verbal communicationCommunication & LanguageP5AdvancedDe apoyoDefines advanced approaches for Clear verbal communication and shapes standards across a domain.
Clear written communicationCommunication & LanguageP5AdvancedDe apoyoDefines advanced approaches for Clear written communication and shapes standards across a domain.
CollaborationCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Collaboration and shapes standards across a domain.
Critical thinkingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Critical thinking and shapes standards across a domain.
Cross-functional collaborationCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Cross-functional collaboration and shapes standards across a domain.
Learning agilityExecution & Self-ManagementP5AdvancedDe apoyoDefines advanced approaches for Learning agility and shapes standards across a domain.
MentoringCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Mentoring and shapes standards across a domain.
Stakeholder alignmentInfluence & Leadership Without AuthorityP5AdvancedDe apoyoDefines advanced approaches for Stakeholder alignment and shapes standards across a domain.
Strategic thinkingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Strategic thinking and shapes standards across a domain.
Structured problem solvingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Structured problem solving and shapes standards across a domain.

Profesionales8

ProfesionalesPDe apoyo
Architecture governanceIT Service Management & GovernanceP5AdvancedDe apoyoDefines advanced approaches for Architecture governance and shapes standards across a domain.
Data contracts governanceData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for Data contracts governance and shapes standards across a domain.
Data governanceCybersecurity, Privacy & Data Governance StandardsP5AdvancedCentralDefines advanced approaches for Data governance and shapes standards across a domain.
Data mesh operating modelData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for Data mesh operating model and shapes standards across a domain.
Data product managementData & Analytics PracticeP5AdvancedCentralDefines advanced approaches for Data product management and shapes standards across a domain.
Data quality managementCybersecurity, Privacy & Data Governance StandardsP5AdvancedCentralDefines advanced approaches for Data quality management and shapes standards across a domain.
Data stewardshipCybersecurity, Privacy & Data Governance StandardsP5AdvancedCentralDefines advanced approaches for Data stewardship and shapes standards across a domain.
Technology governanceIT Service Management & GovernanceP5AdvancedDe apoyoDefines advanced approaches for Technology governance and shapes standards across a domain.

Técnicas13

TécnicasPDe apoyo
Apache KafkaDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Apache Kafka and establishes reusable patterns across teams.
Apache SparkDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Apache Spark and establishes reusable patterns across teams.
Data catalog platformsDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Data catalog platforms and establishes reusable patterns across teams.
Data contract implementationDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Data contract implementation and establishes reusable patterns across teams.
Data lake / lakehouse engineeringDatabases & Data PlatformsP5AdvancedCentralDesigns advanced approaches using Data lake / lakehouse engineering and establishes reusable patterns across teams.
Data lineage toolingDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Data lineage tooling and establishes reusable patterns across teams.
Data mesh architectureDatabases & Data PlatformsP5AdvancedCentralDesigns advanced approaches using Data mesh architecture and establishes reusable patterns across teams.
Data modelingDatabases & Data PlatformsP5AdvancedCentralDesigns advanced approaches using Data modeling and establishes reusable patterns across teams.
Data warehouse engineeringDatabases & Data PlatformsP5AdvancedCentralDesigns advanced approaches using Data warehouse engineering and establishes reusable patterns across teams.
DatabricksDatabases & Data PlatformsP5AdvancedDe apoyoDesigns advanced approaches using Databricks and establishes reusable patterns across teams.
ER modelingArchitecture & Modeling ToolsP5AdvancedCentralDesigns advanced approaches using ER modeling and establishes reusable patterns across teams.
Semantic layer engineeringAnalytics, BI & Data VisualizationP5AdvancedCentralDesigns advanced approaches using Semantic layer engineering and establishes reusable patterns across teams.
Solution architecture diagramsArchitecture & Modeling ToolsP5AdvancedDe apoyoDesigns advanced approaches using Solution architecture diagrams and establishes reusable patterns across teams.

Qué cambia al pasar de L5 a L6

Moving from Principal Data Architect to Senior 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 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.

Marco de carreras v21, activo desde 17 de agosto de 2026.