🧱Data Architect

NEW

A role designing enterprise data architecture and standards for integration, storage, and analytics.

DESCRIPTION

Data architects define target-state data platforms, integration patterns, and modeling standards. They evaluate technology, ensure interoperability, and embed governance and quality. Their designs align with business capabilities and regulatory constraints. They guide domain teams and set guardrails for scalable, secure data ecosystems.

ALTERNATIVE DEFINITIONS

IBM

Data architects build and maintain the blueprints for data management systems to integrate, centralize, protect, and maintain data sources.

Blueprint-oriented definition emphasizing integration and protection.

Source

Oracle

A data architect designs the structure of data systems and oversees how data is stored, consumed, integrated and managed by different data entities.

Stresses structural design and cross-entity management.

Source

RELATED TERMS

Data Architecture Data Modeling Tool Data Strategy Governance Extract-Transform-Load Data Integration Data Lakehouse Reference Architecture

COMPETING TERMS

Enterprise Architect Cloud Architect

KNOWLEDGE AREAS

Data Architecture Data Management Cloud Data Integration & Interoperability Data Modeling

TARGET AUDIENCE

Data Architect Enterprise Architect Cloud Architect Data Modeler Chief Data Officer Data Management Consultant

EXTERNAL SOURCES

• Wikipedia - Data architecture
• Microsoft - Azure data architecture guide
• Google Cloud - Reference architectures and patterns
• DAMA International - Data architecture function overview

TOP QUESTIONS

What does a Data Architect deliver?

Reference architectures, standards, data models, integration patterns, and roadmaps aligned to business capabilities.

Category: Overview

How does a Data Architect collaborate with teams?

They partner with engineers, stewards, and domain leaders to ensure interoperability and governance.

Category: Collaboration

What is a common mistake in data architecture?

Overengineering without clear business outcomes; designs must prioritize usability and cost-efficiency.

Category: Mistakes

How do Data Architects handle cloud choices?

They evaluate managed services, portability, security controls, and total cost, balancing vendor capabilities and standards.

Category: Cloud

What patterns are central to modern data architecture?

Data lakehouse, event-driven integration, CDC, semantic layers, and data products.

Category: Topic

How is architecture quality measured?

Interoperability, reliability, cost, time-to-delivery, and compliance metrics reflect architectural effectiveness.

Category: Measurement

What risks exist in poor data architecture?

Data silos, high costs, fragility, and compliance gaps that impede analytics and AI.

Category: Risk

How do standards support Data Architects?

Standards enforce consistent models, APIs, and governance, enabling scalable, maintainable systems.

Category: Standards

Where should a Data Architect start?

Map business capabilities, define target states, prioritize high-value domains, and establish foundational platforms and policies.

Category: Getting started