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Data Architect

Specialized Data & Analytics Engineering professional focused on designing enterprise conceptual, logical, and physical data models and enterprise-grade execution.

DATA_ANALYTICSO*NET-SOC: 15-2051.00Seniority: senior · staff · principalAliases: Enterprise Data Architect, Information Architect

Core Responsibilities

  • Execute and maintain production-grade solutions for Data Architect
  • Collaborate with cross-functional engineering teams and uphold quality standards

Skills Weighting (Durable vs Perishable)

Advanced SQL & Analytical Query Optimizationcompetent proficiency
DURABLE
Cloud Data Warehousing (Snowflake / BigQuery)competent proficiency
DURABLE
Data Lakehouse Architecture & dbt Modelingcompetent proficiency
DURABLE

Adjacent Career Transitions

Difficulty: 2/5~6-18 months

Analytics Engineer

Domain specialization bridge from Data Architect to Analytics Engineer

View Target Role
Difficulty: 3/5~12-24 months

Business Intelligence Engineer (BI Engineer)

Deep technical transition from Data Architect into Business Intelligence Engineer (BI Engineer)

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Difficulty: 3/5~12-24 months

Engineering Manager

Transition from technical individual contribution in Data Architect to engineering management

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Difficulty: 3/5~18-36 months

Software Architect

Cross-system architectural boundaries beyond local Data Architect scope

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Frequently Asked Questions

What are the core technical competencies required for a Data Architect?

A Data Architect focuses on Designing enterprise conceptual, logical, and physical data models; Establishing data mesh domain boundaries, polyglot persistence guidelines, and data contract specs. Core responsibilities include: Execute and maintain production-grade solutions for Data Architect, Collaborate with cross-functional engineering teams and uphold quality standards.

What distinguishes a Data Architect from adjacent engineering roles?

Unlike adjacent roles, a Data Architect is specifically NOT expected to handle: Unfocused generalist work without clear domain deliverables; Pure administrative coordination without technical ownership. Seniority tracks encompass senior, staff, principal levels.

What decision authority and hands-on technical ownership does a Data Architect hold?

A Data Architect holds primary decision authority over Enterprise data architecture blueprint approvals, data model governance, polyglot persistence mandates.. This role typically maintains an estimated 80% hands-on technical focus with low customer exposure and moderate ambiguity tolerance.

What are the typical promotion ladders and career mobility pathways from Data Architect?

Progression within Data Architect spans senior → staff → principal seniority tiers. Common adjacent lateral and vertical mobility targets include: Data Engineer, Ai Engineer, Analytics Engineer.

How are compensation benchmarks evaluated for a Data Architect?

Salaries for Data Architect are aggregated from verified statutory and market reports across 6 tech hubs, normalized with k ≥ 5 cohort suppression to preserve privacy, and evaluated across P10 to P90 percentiles.

Which international visa pathways apply to a Data Architect?

Qualifying roles in this family align with statutory shortage criteria under frameworks such as the Germany EU Blue Card (§ 18g AufenthG) and Netherlands Highly Skilled Migrant regulations (Kennismigrant), using official O*NET-SOC (15-2051.00) and ESCO/ISCO-08 classifications.

AI Summary

Data Architect: Core role responsible for designing enterprise conceptual, logical, and physical data models, decision authority over enterprise data architecture blueprint approvals, data model governance, polyglot persistence mandates., and cross-team execution.