Data AI Architect || 100% Remote || 15+ years experience.

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Savi Technologies LLC

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May 28, 2026, 8:26:59 AM (2 days ago) May 28
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Role: Data AI Architect
Location: 100% Remote
15+ years experience.

Role Descriptions: Data  AI Architect to lead modern data architecture and AI-enabled implementation across the data portfolio. The role will design and operationalize a Lakehouse ecosystem (BronzeSilverGold layers)| enable Data-as-a-Service through reusable data products and APIs| and support real-time learning patterns for analytics and GenAI use cases. The architect will partner closely with executive stakeholders to solve high-impact| real-time business problems with a balanced strategic  pragmatic (operator) mindset. Strong hands-on expertise with modern data platforms and architectures| including ETLELT| streaming| and event-driven patterns.Proven ability to buildguide scalable data pipelines| data models| and integration patterns across heterogeneous sources and platforms.Experience implementing AIGenAI solutions in the enterprise contexts.Solid engineering fundamentals| production readiness mindset.Working knowledge of data governance and cataloging toolsprocesses (e.g.| CollibraAlationInformatica) and ability to embed governance into architecture.Google Cloud exposure (preferred strong) and integration with data services (e.g.| BigQueryCloud Storage) and scalable runtime options.
Essential Skills: A Data  AI Architect to lead modern data architecture and AI-enabled implementation across the data portfolio. The role will design and operationalize a Lakehouse ecosystem (BronzeSilverGold layers)| enable Data-as-a-Service through reusable data products and APIs| and support real-time learning patterns for analytics and GenAI use cases. The architect will partner closely with executive stakeholders to solve high-impact| real-time business problems with a balanced strategic  pragmatic (operator) mindset. Strong hands-on expertise with modern data platforms and architectures| including ETLELT| streaming| and event-driven patterns.Proven ability to buildguide scalable data pipelines| data models| and integration patterns across heterogeneous sources and platforms.Experience implementing AIGenAI solutions in the enterprise contexts.Solid engineering fundamentals| production readiness mindset.Working knowledge of data governance and cataloging toolsprocesses (e.g.| CollibraAlationInformatica) and ability to embed governance into architecture.Google Cloud exposure (preferred strong) and integration with data services (e.g.| BigQueryCloud Storage) and scalable runtime options.

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