Data Architecture
Data Architecture is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Function
- Data & Analytics
- Archetype
- Architecture
- Highest level
- L7 · Distinguished Data Architect
Why it exists
Defines enterprise data architecture, models, integration patterns, platform boundaries and governance principles for scalable trusted data products.
Typical responsibilities
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.
Where the work happens
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
How the career progresses
Associate Data Architect → Data Architect → Senior Data Architect → Staff Data Architect → Principal Data Architect → Senior Principal Data Architect → Distinguished Data Architect
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
- L1Associate Data Architect
- L2Data Architect
- L3Senior Data Architect
- L4Staff Data Architect
- L5Principal Data Architect
- L6Senior Principal Data Architect
- L7Distinguished Data Architect
Optional distinguished level. Not every career reaches it.
What is expected at L5 · Principal Data Architect
Apply data architecture capability at shapes standards, architecture or operating practice across a broad domain.
The five dimensions that change
- Autonomy
- Domain-wide authority
- Scope
- Shapes standards, architecture or operating practice across a broad domain.
- Complexity
- Systemic
- Influence
- Enterprise / industry
- Business impact
- Enterprise / industry
- Ambiguity
- High
What good looks like
Produces trustworthy data architecture outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L5.
Typical evidence
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.
Skills expected at L5
Grouped as human, professional and technical. Target proficiency uses the P1–P7 scale, and each row says what that level means for that particular skill.
Human10
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P5AdvancedSupporting | Defines advanced approaches for Clear verbal communication and shapes standards across a domain. |
| Clear written communicationCommunication & Language | P5AdvancedSupporting | Defines advanced approaches for Clear written communication and shapes standards across a domain. |
| CollaborationCollaboration & Relationships | P5AdvancedSupporting | Defines advanced approaches for Collaboration and shapes standards across a domain. |
| Critical thinkingThinking & Problem Solving | P5AdvancedSupporting | Defines advanced approaches for Critical thinking and shapes standards across a domain. |
| Cross-functional collaborationCollaboration & Relationships | P5AdvancedSupporting | Defines advanced approaches for Cross-functional collaboration and shapes standards across a domain. |
| Learning agilityExecution & Self-Management | P5AdvancedSupporting | Defines advanced approaches for Learning agility and shapes standards across a domain. |
| MentoringCollaboration & Relationships | P5AdvancedSupporting | Defines advanced approaches for Mentoring and shapes standards across a domain. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P5AdvancedSupporting | Defines advanced approaches for Stakeholder alignment and shapes standards across a domain. |
| Strategic thinkingThinking & Problem Solving | P5AdvancedSupporting | Defines advanced approaches for Strategic thinking and shapes standards across a domain. |
| Structured problem solvingThinking & Problem Solving | P5AdvancedSupporting | Defines advanced approaches for Structured problem solving and shapes standards across a domain. |
Professional8
| Professional | P | Supporting |
|---|---|---|
| Architecture governanceIT Service Management & Governance | P5AdvancedSupporting | Defines advanced approaches for Architecture governance and shapes standards across a domain. |
| Data contracts governanceData & Analytics Practice | P5AdvancedSupporting | Defines advanced approaches for Data contracts governance and shapes standards across a domain. |
| Data governanceCybersecurity, Privacy & Data Governance Standards | P5AdvancedCore | Defines advanced approaches for Data governance and shapes standards across a domain. |
| Data mesh operating modelData & Analytics Practice | P5AdvancedSupporting | Defines advanced approaches for Data mesh operating model and shapes standards across a domain. |
| Data product managementData & Analytics Practice | P5AdvancedCore | Defines advanced approaches for Data product management and shapes standards across a domain. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P5AdvancedCore | Defines advanced approaches for Data quality management and shapes standards across a domain. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P5AdvancedCore | Defines advanced approaches for Data stewardship and shapes standards across a domain. |
| Technology governanceIT Service Management & Governance | P5AdvancedSupporting | Defines advanced approaches for Technology governance and shapes standards across a domain. |
Technical13
| Technical | P | Supporting |
|---|---|---|
| Apache KafkaDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Apache Kafka and establishes reusable patterns across teams. |
| Apache SparkDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Apache Spark and establishes reusable patterns across teams. |
| Data catalog platformsDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Data catalog platforms and establishes reusable patterns across teams. |
| Data contract implementationDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Data contract implementation and establishes reusable patterns across teams. |
| Data lake / lakehouse engineeringDatabases & Data Platforms | P5AdvancedCore | Designs advanced approaches using Data lake / lakehouse engineering and establishes reusable patterns across teams. |
| Data lineage toolingDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Data lineage tooling and establishes reusable patterns across teams. |
| Data mesh architectureDatabases & Data Platforms | P5AdvancedCore | Designs advanced approaches using Data mesh architecture and establishes reusable patterns across teams. |
| Data modelingDatabases & Data Platforms | P5AdvancedCore | Designs advanced approaches using Data modeling and establishes reusable patterns across teams. |
| Data warehouse engineeringDatabases & Data Platforms | P5AdvancedCore | Designs advanced approaches using Data warehouse engineering and establishes reusable patterns across teams. |
| DatabricksDatabases & Data Platforms | P5AdvancedSupporting | Designs advanced approaches using Databricks and establishes reusable patterns across teams. |
| ER modelingArchitecture & Modeling Tools | P5AdvancedCore | Designs advanced approaches using ER modeling and establishes reusable patterns across teams. |
| Semantic layer engineeringAnalytics, BI & Data Visualization | P5AdvancedCore | Designs advanced approaches using Semantic layer engineering and establishes reusable patterns across teams. |
| Solution architecture diagramsArchitecture & Modeling Tools | P5AdvancedSupporting | Designs advanced approaches using Solution architecture diagrams and establishes reusable patterns across teams. |
What changes from L5 to 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.
How readiness is shown
Sustained evidence of operating at L6-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
How to prepare
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- Analytics EngineeringData & Analytics21 shared skills
- AI Platform & MLOps EngineeringData & Analytics14 shared skills
- Data EngineeringData & Analytics15 shared skills
- AI Governance & Responsible AIData & Analytics12 shared skills
- Data AnalyticsData & Analytics15 shared skills
- Business IntelligenceData & Analytics15 shared skills
Career framework v21, active since August 17, 2026.