Curated for this specific career level.
Level path
Advanced Data Architecture
Senior Data Architect
Design, evolve, and debug systems across boundaries with strong tradeoff awareness.
Concepts explicitly listed in this level.
Concepts span multiple tracks and layers.
Job description signalsTypical responsibilities↓
- Define data models, platform boundaries, integration patterns, governance, and lifecycle standards.
- Align analytical and operational data architecture with quality, privacy, security, and business needs.
- Guide data platform evolution, interoperability, ownership, discovery, and migration decisions.
- Lead the technical design and delivery of complex work across a team-owned system area.
- Review architecture, mentor engineers, and raise engineering quality standards.
- Anticipate scalability, security, operability, and migration risks before implementation.
- Coordinate cross-functional work and make durable tradeoffs under ambiguity.
Track / layer masteryConcept coverage by layer↓
Software
9 concepts
Management
1 concepts
Software
180 concepts
Data
42 concepts
Operations
22 concepts
Management
21 concepts
Product
15 concepts
Theory
3 concepts
Learning scopeConcepts by learning area↓
Specific to this level
Concepts introduced by this level
Level concepts
Enterprise Data Architecture
Guide federated, governed, and interoperable data across domains.
Level concepts
Data Strategy
Align data platforms and governance with technology and business strategy.
Cumulative level expectation
All concepts expected at this level
Inherited path
Coding Foundations
Developers begin by learning to translate requirements into working, readable code.
Inherited path
Developer Tooling
Daily development depends on version control, language tooling, static checks, and repeatable local workflows.
Inherited path
Testing & Debugging
A developer owns not only writing code, but proving that it behaves as intended.
Inherited path
Employment Basics
Technical candidates benefit from understanding who employs them, how they are paid, and which terms govern the working relationship.
Inherited path
Programming Foundations
Learn the basic building blocks used to express behavior in code.
Inherited path
Software Design
Structure code so it remains readable, testable, and maintainable as it grows.
Inherited path
Data & Persistence
Understand how applications store, retrieve, and protect durable state.
Inherited path
Architecture & Systems
Design systems that handle growth, latency, failure, and multiple communicating components.
Inherited path
Production Awareness
Know how software is built, deployed, observed, and recovered in production.
Inherited path
Data foundations
Understand datasets, schemas, quality, SQL, and analytical storage basics.
Inherited path
Pipeline orchestration
Build and operate data movement and transformation workflows at scale.
Inherited path
Data platform production
Make data platforms reliable, discoverable, observable, and ready for analytics and ML consumers.
Inherited path
Data Modeling
Define consistent models, schemas, ownership, and data semantics.
Inherited path
Analytical Foundations
Understand the core structures used for analytical data.
Inherited path
Application Design
Mid-level developers own complete features and make local design choices inside an established architecture.
Inherited path
Runtime & Data
Feature ownership requires practical knowledge of runtimes, memory management, and relational persistence.
Inherited path
Delivery & Collaboration
Professional development includes the complete implementation loop, not only editing source files.
Inherited path
Data Platforms
Build the capabilities needed for this area.
Inherited path
Data Governance
Establish ownership, discovery, quality, and controlled use of data assets.
Inherited path
Advanced Implementation
Senior developers handle complex application behavior and establish strong coding patterns for others.
Inherited path
Service Development
Senior developers often own APIs and service modules while collaborating with engineers on broader architecture.
Inherited path
Production Code
Senior developers understand how implementation choices affect deployment, diagnostics, and recovery.
Path concepts
Enterprise Data Architecture
Guide federated, governed, and interoperable data across domains.
Path concepts
Data Strategy
Align data platforms and governance with technology and business strategy.