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 L3 · Senior Data Architect
Apply data architecture capability at handles complex work, mentors others and influences team-level outcomes.
The five dimensions that change
- Autonomy
- Independent complex ownership
- Scope
- Handles complex work, mentors others and influences team-level outcomes.
- Complexity
- Complex
- Influence
- Multiple teams
- Business impact
- Domain/cross-team
- Ambiguity
- Moderate
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 L3.
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 L3 scope.
Skills expected at L3
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.
Human8
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P3WorkingSupporting | Applies Clear verbal communication independently in normal and moderately complex situations. |
| Clear written communicationCommunication & Language | P3WorkingSupporting | Applies Clear written communication independently in normal and moderately complex situations. |
| CollaborationCollaboration & Relationships | P3WorkingSupporting | Applies Collaboration independently in normal and moderately complex situations. |
| Critical thinkingThinking & Problem Solving | P3WorkingSupporting | Applies Critical thinking independently in normal and moderately complex situations. |
| Cross-functional collaborationCollaboration & Relationships | P3WorkingSupporting | Applies Cross-functional collaboration independently in normal and moderately complex situations. |
| Learning agilityExecution & Self-Management | P3WorkingSupporting | Applies Learning agility independently in normal and moderately complex situations. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P3WorkingSupporting | Applies Stakeholder alignment independently in normal and moderately complex situations. |
| Structured problem solvingThinking & Problem Solving | P3WorkingSupporting | Applies Structured problem solving independently in normal and moderately complex situations. |
Professional8
| Professional | P | Supporting |
|---|---|---|
| Architecture governanceIT Service Management & Governance | P3WorkingSupporting | Applies Architecture governance independently in normal and moderately complex situations. |
| Data contracts governanceData & Analytics Practice | P3WorkingSupporting | Applies Data contracts governance independently in normal and moderately complex situations. |
| Data governanceCybersecurity, Privacy & Data Governance Standards | P3WorkingCore | Applies Data governance independently in normal and moderately complex situations. |
| Data mesh operating modelData & Analytics Practice | P3WorkingSupporting | Applies Data mesh operating model independently in normal and moderately complex situations. |
| Data product managementData & Analytics Practice | P3WorkingCore | Applies Data product management independently in normal and moderately complex situations. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P3WorkingCore | Applies Data quality management independently in normal and moderately complex situations. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P3WorkingCore | Applies Data stewardship independently in normal and moderately complex situations. |
| Technology governanceIT Service Management & Governance | P3WorkingSupporting | Applies Technology governance independently in normal and moderately complex situations. |
Technical12
| Technical | P | Supporting |
|---|---|---|
| Apache KafkaDatabases & Data Platforms | P3WorkingSupporting | Applies Apache Kafka independently in normal production scenarios and troubleshoots common issues. |
| Apache SparkDatabases & Data Platforms | P3WorkingSupporting | Applies Apache Spark independently in normal production scenarios and troubleshoots common issues. |
| Data catalog platformsDatabases & Data Platforms | P3WorkingSupporting | Applies Data catalog platforms independently in normal production scenarios and troubleshoots common issues. |
| Data contract implementationDatabases & Data Platforms | P3WorkingSupporting | Applies Data contract implementation independently in normal production scenarios and troubleshoots common issues. |
| Data lake / lakehouse engineeringDatabases & Data Platforms | P3WorkingCore | Applies Data lake / lakehouse engineering independently in normal production scenarios and troubleshoots common issues. |
| Data lineage toolingDatabases & Data Platforms | P3WorkingSupporting | Applies Data lineage tooling independently in normal production scenarios and troubleshoots common issues. |
| Data mesh architectureDatabases & Data Platforms | P3WorkingCore | Applies Data mesh architecture independently in normal production scenarios and troubleshoots common issues. |
| Data modelingDatabases & Data Platforms | P3WorkingCore | Applies Data modeling independently in normal production scenarios and troubleshoots common issues. |
| Data warehouse engineeringDatabases & Data Platforms | P3WorkingCore | Applies Data warehouse engineering independently in normal production scenarios and troubleshoots common issues. |
| DatabricksDatabases & Data Platforms | P3WorkingSupporting | Applies Databricks independently in normal production scenarios and troubleshoots common issues. |
| ER modelingArchitecture & Modeling Tools | P3WorkingCore | Applies ER modeling independently in normal production scenarios and troubleshoots common issues. |
| Semantic layer engineeringAnalytics, BI & Data Visualization | P3WorkingCore | Applies Semantic layer engineering independently in normal production scenarios and troubleshoots common issues. |
What changes from L3 to L4
Moving from Senior Data Architect to Staff 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 L4-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.