Staff Platform Architect, Data & AI

📋 Description Evolve enterprise data and AI platform architecture for reliability, scalability, governance, and Advance batch processing, analytics, and MLOps platforms for cost efficiency and performance. Design AI-ready data foundations: semantic/ontology layers, governance tooling, lifecycle Build usage infrastructure: APIs, libraries, services for secure data access by internal teams Develop permission-aware semantic discovery to improve data interactions for users and intelligent Guide engineering teams with architectural patterns, reference designs, and collaboration. 🎯 Requirements 10+ years of software engineering experience focused on data platforms, analytics infrastructure Bachelor’s degree or higher in computer science, engineering, technology, or related field. Proven experience building and operating MLOps platforms (data access, feature engineering, model Strong data modeling, schema design, data quality, and platform engineering knowledge. Experience designing AI agent-based architectures for governed data access, semantic discovery, and Experience creating federated catalog architectures enabling unified access across platforms. 🎁 Benefits Competitive compensation with bonus eligibility. Comprehensive medical, dental, and vision coverage. 401(k) with employer matching. Flexible work environment with remote, hybrid, or on-site options. Flexible paid time off and company holidays. Opportunities to influence AI, data, and technology initiatives with global impact.