Google · Austin, TX

Salary
$183,000–$266,000from the description
Posted
Jul 20, 2026
Location
Austin, TX
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

Senior level · 8+ years · Austin, TX · Full-time

Must have (4)
AI/ML pipelinesdata architecturedata warehouses or Data Lakesdistributed systems
Nice to have (2)
MLOpsLLMs

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

Why we read it this way (6)

The posting is for three possible locations: Austin TX, New York NY, and San Jose CA. Austin TX is listed first; the compensation range ($183,000–$266,000 + 20% bonus target + equity) applies across all three.

The role title in the body is 'Enterprise Architect' focused on Data and AI Enablement, though the formal posting title is 'Technical Solutions Consultant' — the actual day-to-day work described is enterprise/data architecture, not client-facing technical consulting, so the role was classified accordingly.

A Bachelor's degree is listed as a minimum qualification but the posting explicitly accepts 'equivalent practical experience' in lieu of a degree, so degree requirement is treated as None.

The preferred qualifications section mentions cloud-native data services, MLOps frameworks, and LLM orchestration patterns — these are marked as preferred. No specific cloud platform (AWS, GCP, Azure) or named tooling product is called out by name.

SOC classification is Medium confidence: the role blends enterprise/data architecture (15-1211 Computer Systems Analysts) with data pipeline and warehouse design (15-1243 Database Architects); the emphasis on reference architectures, blueprints, and cross-pillar standards tilts toward 15-1211.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data engineering, cloud-native data services.

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