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 L4 · Staff Data Architect
Apply data architecture capability at leads ambiguous cross-team work through expertise without people management.
The five dimensions that change
- Autonomy
- Cross-team technical/professional leadership
- Scope
- Leads ambiguous cross-team work through expertise without people management.
- Complexity
- Complex
- Influence
- Multiple teams
- Business impact
- Domain/cross-team
- 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 L4.
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 L4 scope.
Skills expected at L4
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 | P4ProficientSupporting | Adapts Clear verbal communication to complex situations and guides peers in applying it consistently. |
| Clear written communicationCommunication & Language | P4ProficientSupporting | Adapts Clear written communication to complex situations and guides peers in applying it consistently. |
| CollaborationCollaboration & Relationships | P4ProficientSupporting | Adapts Collaboration to complex situations and guides peers in applying it consistently. |
| Critical thinkingThinking & Problem Solving | P4ProficientSupporting | Adapts Critical thinking to complex situations and guides peers in applying it consistently. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientSupporting | Adapts Cross-functional collaboration to complex situations and guides peers in applying it consistently. |
| Learning agilityExecution & Self-Management | P4ProficientSupporting | Adapts Learning agility to complex situations and guides peers in applying it consistently. |
| MentoringCollaboration & Relationships | P4ProficientSupporting | Adapts Mentoring to complex situations and guides peers in applying it consistently. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientSupporting | Adapts Stakeholder alignment to complex situations and guides peers in applying it consistently. |
| Strategic thinkingThinking & Problem Solving | P4ProficientSupporting | Adapts Strategic thinking to complex situations and guides peers in applying it consistently. |
| Structured problem solvingThinking & Problem Solving | P4ProficientSupporting | Adapts Structured problem solving to complex situations and guides peers in applying it consistently. |
Professional8
| Professional | P | Supporting |
|---|---|---|
| Architecture governanceIT Service Management & Governance | P4ProficientSupporting | Adapts Architecture governance to complex situations and guides peers in applying it consistently. |
| Data contracts governanceData & Analytics Practice | P4ProficientSupporting | Adapts Data contracts governance to complex situations and guides peers in applying it consistently. |
| Data governanceCybersecurity, Privacy & Data Governance Standards | P4ProficientCore | Adapts Data governance to complex situations and guides peers in applying it consistently. |
| Data mesh operating modelData & Analytics Practice | P4ProficientSupporting | Adapts Data mesh operating model to complex situations and guides peers in applying it consistently. |
| Data product managementData & Analytics Practice | P4ProficientCore | Adapts Data product management to complex situations and guides peers in applying it consistently. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P4ProficientCore | Adapts Data quality management to complex situations and guides peers in applying it consistently. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P4ProficientCore | Adapts Data stewardship to complex situations and guides peers in applying it consistently. |
| Technology governanceIT Service Management & Governance | P4ProficientSupporting | Adapts Technology governance to complex situations and guides peers in applying it consistently. |
Technical13
| Technical | P | Supporting |
|---|---|---|
| Apache KafkaDatabases & Data Platforms | P4ProficientSupporting | Handles complex Apache Kafka implementations, optimizes outcomes and guides peers. |
| Apache SparkDatabases & Data Platforms | P4ProficientSupporting | Handles complex Apache Spark implementations, optimizes outcomes and guides peers. |
| Data catalog platformsDatabases & Data Platforms | P4ProficientSupporting | Handles complex Data catalog platforms implementations, optimizes outcomes and guides peers. |
| Data contract implementationDatabases & Data Platforms | P4ProficientSupporting | Handles complex Data contract implementation implementations, optimizes outcomes and guides peers. |
| Data lake / lakehouse engineeringDatabases & Data Platforms | P4ProficientCore | Handles complex Data lake / lakehouse engineering implementations, optimizes outcomes and guides peers. |
| Data lineage toolingDatabases & Data Platforms | P4ProficientSupporting | Handles complex Data lineage tooling implementations, optimizes outcomes and guides peers. |
| Data mesh architectureDatabases & Data Platforms | P4ProficientCore | Handles complex Data mesh architecture implementations, optimizes outcomes and guides peers. |
| Data modelingDatabases & Data Platforms | P4ProficientCore | Handles complex Data modeling implementations, optimizes outcomes and guides peers. |
| Data warehouse engineeringDatabases & Data Platforms | P4ProficientCore | Handles complex Data warehouse engineering implementations, optimizes outcomes and guides peers. |
| DatabricksDatabases & Data Platforms | P4ProficientSupporting | Handles complex Databricks implementations, optimizes outcomes and guides peers. |
| ER modelingArchitecture & Modeling Tools | P4ProficientCore | Handles complex ER modeling implementations, optimizes outcomes and guides peers. |
| Semantic layer engineeringAnalytics, BI & Data Visualization | P4ProficientCore | Handles complex Semantic layer engineering implementations, optimizes outcomes and guides peers. |
| Solution architecture diagramsArchitecture & Modeling Tools | P4ProficientSupporting | Handles complex Solution architecture diagrams implementations, optimizes outcomes and guides peers. |
What changes from L4 to L5
Moving from Staff Data Architect to 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 L5-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.