TecHub

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 L3 · Senior Data Architect

Apply data architecture capability at handles complex work, mentors others and influences team-level outcomes.

Las cinco dimensiones que cambian

Autonomía
Independent complex ownership
Alcance
Handles complex work, mentors others and influences team-level outcomes.
Complejidad
Complex
Influencia
Multiple teams
Impacto en el negocio
Domain/cross-team
Ambigüedad
Moderate

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 L3.

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 L3 scope.

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.

Humanas8

HumanasPDe apoyo
Clear verbal communicationCommunication & LanguageP3WorkingDe apoyoApplies Clear verbal communication independently in normal and moderately complex situations.
Clear written communicationCommunication & LanguageP3WorkingDe apoyoApplies Clear written communication independently in normal and moderately complex situations.
CollaborationCollaboration & RelationshipsP3WorkingDe apoyoApplies Collaboration independently in normal and moderately complex situations.
Critical thinkingThinking & Problem SolvingP3WorkingDe apoyoApplies Critical thinking independently in normal and moderately complex situations.
Cross-functional collaborationCollaboration & RelationshipsP3WorkingDe apoyoApplies Cross-functional collaboration independently in normal and moderately complex situations.
Learning agilityExecution & Self-ManagementP3WorkingDe apoyoApplies Learning agility independently in normal and moderately complex situations.
Stakeholder alignmentInfluence & Leadership Without AuthorityP3WorkingDe apoyoApplies Stakeholder alignment independently in normal and moderately complex situations.
Structured problem solvingThinking & Problem SolvingP3WorkingDe apoyoApplies Structured problem solving independently in normal and moderately complex situations.

Profesionales8

ProfesionalesPDe apoyo
Architecture governanceIT Service Management & GovernanceP3WorkingDe apoyoApplies Architecture governance independently in normal and moderately complex situations.
Data contracts governanceData & Analytics PracticeP3WorkingDe apoyoApplies Data contracts governance independently in normal and moderately complex situations.
Data governanceCybersecurity, Privacy & Data Governance StandardsP3WorkingCentralApplies Data governance independently in normal and moderately complex situations.
Data mesh operating modelData & Analytics PracticeP3WorkingDe apoyoApplies Data mesh operating model independently in normal and moderately complex situations.
Data product managementData & Analytics PracticeP3WorkingCentralApplies Data product management independently in normal and moderately complex situations.
Data quality managementCybersecurity, Privacy & Data Governance StandardsP3WorkingCentralApplies Data quality management independently in normal and moderately complex situations.
Data stewardshipCybersecurity, Privacy & Data Governance StandardsP3WorkingCentralApplies Data stewardship independently in normal and moderately complex situations.
Technology governanceIT Service Management & GovernanceP3WorkingDe apoyoApplies Technology governance independently in normal and moderately complex situations.

Técnicas12

TécnicasPDe apoyo
Apache KafkaDatabases & Data PlatformsP3WorkingDe apoyoApplies Apache Kafka independently in normal production scenarios and troubleshoots common issues.
Apache SparkDatabases & Data PlatformsP3WorkingDe apoyoApplies Apache Spark independently in normal production scenarios and troubleshoots common issues.
Data catalog platformsDatabases & Data PlatformsP3WorkingDe apoyoApplies Data catalog platforms independently in normal production scenarios and troubleshoots common issues.
Data contract implementationDatabases & Data PlatformsP3WorkingDe apoyoApplies Data contract implementation independently in normal production scenarios and troubleshoots common issues.
Data lake / lakehouse engineeringDatabases & Data PlatformsP3WorkingCentralApplies Data lake / lakehouse engineering independently in normal production scenarios and troubleshoots common issues.
Data lineage toolingDatabases & Data PlatformsP3WorkingDe apoyoApplies Data lineage tooling independently in normal production scenarios and troubleshoots common issues.
Data mesh architectureDatabases & Data PlatformsP3WorkingCentralApplies Data mesh architecture independently in normal production scenarios and troubleshoots common issues.
Data modelingDatabases & Data PlatformsP3WorkingCentralApplies Data modeling independently in normal production scenarios and troubleshoots common issues.
Data warehouse engineeringDatabases & Data PlatformsP3WorkingCentralApplies Data warehouse engineering independently in normal production scenarios and troubleshoots common issues.
DatabricksDatabases & Data PlatformsP3WorkingDe apoyoApplies Databricks independently in normal production scenarios and troubleshoots common issues.
ER modelingArchitecture & Modeling ToolsP3WorkingCentralApplies ER modeling independently in normal production scenarios and troubleshoots common issues.
Semantic layer engineeringAnalytics, BI & Data VisualizationP3WorkingCentralApplies Semantic layer engineering independently in normal production scenarios and troubleshoots common issues.

Qué cambia al pasar de L3 a L4

Moving from Senior Data Architect to Staff 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 L4-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.