Data & AI solution architect

Job Description: We are seeking a highly experienced Data & AI Solution Architect to lead enterprise-scale modern data architecture and AI-driven transformation initiatives. The ideal candidate will possess strong expertise in Lakehouse Architecture, Data Engineering, Artificial Intelligence/Generative AI, Data-as-a-Service (DaaS), and Enterprise Data Platforms. Key Responsibilities: • Design and operationalize scalable Lakehouse architectures using Bronze, Silver, and Gold data layers. • Build reusable Data-as-a-Service (DaaS) frameworks, APIs, and enterprise-grade data products. • Architect scalable ETL/ELT pipelines, streaming platforms, and event-driven data integration patterns across heterogeneous systems. • Lead implementation of Artificial Intelligence (AI) and Generative AI (GenAI) solutions for real-time analytics and enterprise business use cases. • Develop scalable data models, integration frameworks, and modern enterprise data architectures. • Partner with executive leadership and business stakeholders to solve complex, high-impact business problems with a strategic and operational mindset. • Enable real-time learning patterns, advanced analytics, and intelligent automation capabilities. • Ensure production readiness, scalability, reliability, and performance optimization of enterprise data platforms. • Integrate and operationalize data governance, cataloging, lineage, and metadata management using tools such as Collibra, Alation, and Informatica. • Design and support cloud-native architectures leveraging Google Cloud Platform (GCP), BigQuery, Cloud Storage, and modern scalable runtime environments. Required Skills: • Enterprise Data Architecture & Data Modeling • Lakehouse Architecture (Bronze/Silver/Gold layers) • ETL / ELT Development & Data Pipelines • Streaming & Event-Driven Architecture • Artificial Intelligence (AI) & Generative AI (GenAI) Solutions • Data-as-a-Service (DaaS) & API Architecture • Google Cloud Platform (GCP), BigQuery, Cloud Storage • Data Governance, Metadata Management & Data Cataloging • Scalable Integration Patterns & Real-Time Analytics • Production-Ready Engineering & Performance Optimization Preferred Qualifications: • Experience with enterprise-scale AI/GenAI implementations • Strong exposure to modern cloud-native data ecosystems • Expertise with Collibra, Alation, Informatica, or similar governance tools • Strong stakeholder management and executive communication skills • Ability to lead architecture strategy and hands-on technical implementation Experience Required: 10+ years of experience in Enterprise Data Architecture, Data Engineering, AI/GenAI Solutions, and Cloud Data Platforms.