Curated for this specific career level.
Level path
Data Architecture Foundations
Junior Data Architect
Build reliable foundations and enough context to contribute safely with guidance.
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.
- Implement well-scoped tasks with guidance from more senior engineers.
- Write readable code, tests, and documentation for small features or fixes.
- Participate in code reviews, debugging sessions, and team ceremonies.
- Learn the team codebase, delivery workflow, and production support expectations.
Track / layer masteryConcept coverage by layer↓
Data
8 concepts
Software
1 concepts
Software
63 concepts
Data
21 concepts
Management
12 concepts
Operations
9 concepts
Product
5 concepts
Theory
3 concepts
Learning scopeConcepts by learning area↓
Specific to this level
Concepts introduced by this level
Level concepts
Data Modeling
Define consistent models, schemas, ownership, and data semantics.
Level concepts
Analytical Foundations
Understand the core structures used for analytical data.
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.
Path concepts
Data Modeling
Define consistent models, schemas, ownership, and data semantics.
Path concepts
Analytical Foundations
Understand the core structures used for analytical data.