Capability Matrix
Overview
This capability matrix documents the skills, expertise levels, and areas of specialization across the Solution Architecture Practice team. It helps in:
- Resource allocation and assignment
- Identifying skill gaps
- Planning training and development
- Supporting career development
Capability Levels
- Expert (5): Deep expertise, thought leader, can mentor others
- Advanced (4): Strong working knowledge, can lead projects independently
- Intermediate (3): Solid working knowledge, can deliver with guidance
- Basic (2): Foundational knowledge, requires support
- Awareness (1): Familiar with concepts, limited practical experience
Core Architecture Capabilities
| Capability |
Team Average |
# Experts |
# Advanced |
Notes |
| Solution Design |
4.2 |
6 |
10 |
Core competency |
| Architecture Documentation |
4.5 |
8 |
8 |
C4, ADRs, diagrams |
| Architecture Patterns |
4.0 |
5 |
12 |
Design patterns, enterprise patterns |
| System Integration |
4.1 |
7 |
9 |
APIs, events, integration patterns |
| Non-Functional Requirements |
3.9 |
4 |
11 |
Performance, security, scalability |
| Technology Evaluation |
4.0 |
6 |
10 |
POCs, assessments |
| Stakeholder Management |
3.8 |
5 |
8 |
Communication, presentations |
| Technical Leadership |
3.7 |
4 |
9 |
Mentoring, influence |
Architecture Domains
Application Architecture
| Capability |
Team Average |
# Experts |
# Advanced |
| Microservices Architecture |
4.3 |
7 |
8 |
| Domain-Driven Design |
3.8 |
4 |
10 |
| API Design (REST, GraphQL, gRPC) |
4.5 |
9 |
7 |
| Frontend Architecture |
3.2 |
2 |
7 |
| Mobile Architecture |
2.8 |
1 |
4 |
| Serverless Architecture |
3.9 |
5 |
9 |
| Event-Driven Architecture |
4.1 |
6 |
10 |
| CQRS & Event Sourcing |
3.3 |
3 |
6 |
Data Architecture
| Capability |
Team Average |
# Experts |
# Advanced |
| Data Modeling |
4.0 |
5 |
11 |
| Database Design (Relational) |
4.2 |
7 |
10 |
| Database Design (NoSQL) |
3.7 |
4 |
9 |
| Data Warehouse Architecture |
3.8 |
4 |
7 |
| Data Lake Architecture |
3.6 |
3 |
8 |
| Real-Time Data Streaming |
3.9 |
5 |
8 |
| Data Governance |
3.4 |
3 |
6 |
| Master Data Management |
3.1 |
2 |
5 |
| Analytics Architecture |
3.5 |
3 |
7 |
Cloud & Infrastructure
| Capability |
Team Average |
# Experts |
# Advanced |
| AWS Architecture |
4.4 |
8 |
9 |
| Azure Architecture |
4.0 |
6 |
8 |
| GCP Architecture |
3.2 |
2 |
6 |
| Multi-Cloud Architecture |
3.5 |
3 |
7 |
| Container Architecture (Docker) |
4.3 |
7 |
10 |
| Kubernetes |
4.1 |
6 |
10 |
| Infrastructure as Code |
4.2 |
7 |
9 |
| Network Architecture |
3.6 |
4 |
7 |
| Cloud Cost Optimization |
3.8 |
4 |
8 |
Security Architecture
| Capability |
Team Average |
# Experts |
# Advanced |
| Security by Design |
4.0 |
5 |
11 |
| Threat Modeling |
3.7 |
4 |
8 |
| Identity & Access Management |
3.9 |
5 |
9 |
| Zero Trust Architecture |
3.4 |
3 |
6 |
| Encryption & Key Management |
3.8 |
4 |
9 |
| API Security |
4.1 |
6 |
10 |
| Cloud Security |
3.9 |
5 |
9 |
| Compliance Architecture |
3.5 |
3 |
7 |
Integration Architecture
| Capability |
Team Average |
# Experts |
# Advanced |
| API Gateway Patterns |
4.2 |
7 |
9 |
| Message Queuing |
4.0 |
6 |
10 |
| Event Streaming (Kafka, etc.) |
3.9 |
5 |
9 |
| Enterprise Integration Patterns |
3.8 |
4 |
10 |
| Service Mesh |
3.4 |
3 |
6 |
| B2B/EDI Integration |
2.9 |
1 |
4 |
| API Management Platforms |
3.7 |
4 |
8 |
| Platform |
Team Average |
# Experts |
# Advanced |
Primary Use Cases |
| AWS |
4.4 |
8 |
9 |
Primary cloud platform |
| Azure |
4.0 |
6 |
8 |
Hybrid cloud, enterprise apps |
| GCP |
3.2 |
2 |
6 |
Data analytics, ML |
| AWS Lambda |
4.1 |
6 |
10 |
Serverless compute |
| AWS ECS/EKS |
4.2 |
7 |
9 |
Container orchestration |
| Azure Functions |
3.5 |
3 |
7 |
Serverless compute |
| Azure AKS |
3.7 |
4 |
7 |
Container orchestration |
Programming Languages
| Language |
Team Average |
# Experts |
# Advanced |
Primary Use Cases |
| Java |
4.3 |
7 |
10 |
Backend services, enterprise apps |
| Python |
4.2 |
6 |
11 |
Data processing, ML, scripting |
| JavaScript/TypeScript |
4.0 |
5 |
11 |
Full-stack development |
| Go |
3.3 |
2 |
7 |
Microservices, cloud-native |
| C# / .NET |
3.6 |
3 |
8 |
Enterprise applications |
| Scala |
2.8 |
1 |
3 |
Big data processing |
Databases
| Database |
Team Average |
# Experts |
# Advanced |
Primary Use Cases |
| PostgreSQL |
4.5 |
9 |
8 |
Transactional systems |
| MySQL |
3.8 |
4 |
10 |
Web applications |
| MongoDB |
4.0 |
6 |
9 |
Document storage |
| Redis |
4.2 |
7 |
10 |
Caching, session store |
| DynamoDB |
3.9 |
5 |
9 |
Serverless, high-scale |
| Cassandra |
3.1 |
2 |
5 |
Time-series, high write |
| Elasticsearch |
3.8 |
4 |
9 |
Search, log analytics |
Data & Analytics
| Technology |
Team Average |
# Experts |
# Advanced |
Primary Use Cases |
| Apache Kafka |
4.1 |
6 |
10 |
Event streaming |
| Apache Spark |
3.4 |
3 |
6 |
Big data processing |
| Snowflake |
3.7 |
4 |
7 |
Data warehousing |
| Databricks |
3.3 |
2 |
6 |
Data lakehouse, ML |
| AWS Kinesis |
3.6 |
3 |
8 |
Real-time streaming |
| Apache Airflow |
3.5 |
3 |
7 |
Data orchestration |
| dbt |
3.2 |
2 |
6 |
Data transformation |
DevOps & CI/CD
| Tool |
Team Average |
# Experts |
# Advanced |
Primary Use Cases |
| Docker |
4.4 |
8 |
10 |
Containerization |
| Kubernetes |
4.1 |
6 |
10 |
Container orchestration |
| Terraform |
4.3 |
7 |
10 |
Infrastructure as Code |
| Jenkins |
4.0 |
5 |
11 |
CI/CD pipelines |
| GitLab CI |
4.1 |
6 |
10 |
CI/CD pipelines |
| GitHub Actions |
4.0 |
5 |
10 |
CI/CD pipelines |
| ArgoCD |
3.4 |
3 |
6 |
GitOps |
| Helm |
3.7 |
4 |
8 |
Kubernetes packaging |
Frameworks & Methodologies
| Framework/Method |
Team Average |
# Experts |
# Advanced |
| TOGAF |
3.5 |
3 |
7 |
| C4 Model |
4.6 |
10 |
8 |
| Domain-Driven Design |
3.8 |
4 |
10 |
| 12-Factor App |
4.3 |
7 |
11 |
| AWS Well-Architected |
4.2 |
6 |
11 |
| Azure Well-Architected |
3.8 |
4 |
9 |
| Agile/Scrum |
4.4 |
8 |
10 |
| SAFe |
3.1 |
2 |
5 |
Soft Skills
| Skill |
Team Average |
# Experts |
# Advanced |
| Technical Communication |
4.1 |
6 |
11 |
| Executive Presentations |
3.7 |
4 |
8 |
| Facilitation & Workshops |
3.9 |
5 |
9 |
| Stakeholder Management |
3.8 |
5 |
8 |
| Conflict Resolution |
3.6 |
3 |
9 |
| Mentoring & Coaching |
3.9 |
5 |
10 |
| Change Management |
3.4 |
3 |
6 |
| Negotiation |
3.5 |
3 |
7 |
Skill Development Focus Areas
Based on our capability assessment, current focus areas for skill development:
High Priority
- Zero Trust Architecture - Growing security need
- Service Mesh - Microservices maturity
- FinOps / Cloud Cost Optimization - Cost management focus
- Machine Learning Architecture - AI/ML initiatives
- Multi-Cloud - Reducing vendor lock-in
Medium Priority
- Mobile Architecture - Mobile-first initiatives
- GCP - Multi-cloud expansion
- Data Mesh - Distributed data architecture
- Platform Engineering - Internal developer platforms
- Site Reliability Engineering - Operational excellence
Emerging Areas
- Web3 / Blockchain - Future exploration
- Quantum Computing - Long-term awareness
- Edge Computing - IoT expansion
- AR/VR Architecture - Emerging experiences
Capability Development Programs
Certification Programs
- AWS Solutions Architect Professional
- Azure Solutions Architect Expert
- TOGAF 9 Certification
- CKA/CKAD (Kubernetes)
- CISSP (Security)
Training Initiatives
- Monthly lunch & learn sessions
- Quarterly deep-dive workshops
- Annual architecture conference attendance
- Online learning platforms (Pluralsight, A Cloud Guru)
- Internal hands-on labs
Knowledge Sharing
- Architecture pattern library contributions
- Tech talks and presentations
- Blog posts and articles
- Internal documentation
- Mentoring programs
Capability Requests
If your project needs capabilities not currently available:
- Short Term: We can engage external consultants or partners
- Medium Term: We can upskill existing team members
- Long Term: We can hire for specific capabilities
Contact practice leadership to discuss capability needs.
Keeping This Updated
This capability matrix is reviewed and updated:
- Quarterly: Self-assessments by all architects
- Annually: Formal skill assessments
- Ongoing: As new team members join or skills develop