Data AI Architect

Data AI Architect

Remote

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.

Skills: Data Architecture and Modeling~Enterprise Architecture