Data AI Architect

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 Experience Required: 10 & Above





Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.