Jobs → Data & Analytics → Lead Data Architect

About the Role We are seeking a Lead Data Architect with extensive experience in data architecture and AI to lead modernization initiatives. This role focuses on migrating legacy systems to modern cloud data platforms and designing scalable architectures. Key Responsibilities • Lead migration of legacy SQL/Data Warehouse platforms to Databricks Lakehouse architecture • Design scalable cloud-native data platforms supporting analytics, reporting, AI/ML, and GenAI use cases • Define architecture patterns for batch, streaming, API, and event-driven data processing • Establish data engineering standards, governance, observability, security, and FinOps practices • Design trusted data foundations, including MDM, data quality, metadata, and data governance capabilities • Partner with engineering, analytics, and business teams to solve complex technical challenges • Architect AI-ready platforms supporting feature stores, RAG, vector databases, AI agents, and MLOps • Lead architecture reviews, technical workshops, and technology evaluations Requirements • 12+ years of experience in Data & Analytics • 5+ years leading enterprise data architecture and modernization initiatives • Strong hands-on experience with Databricks, Spark, Delta Lake, Azure, and AWS • Proven experience migrating traditional SQL/Data Warehouse environments to modern cloud data platforms • Experience designing MDM solutions, including mastering and golden-record frameworks • Strong knowledge of real-time and streaming architectures (Kafka, CDC, event-driven patterns) • Experience supporting AI/ML and GenAI initiatives • Retail, Convenience Retail, Consumer Goods, or related industry experience preferred