> Markdown version of [/jobs/ext/4570604-principal-enterprise-architect-unified-search-book](https://www.wearedevelopers.com/jobs/ext/4570604-principal-enterprise-architect-unified-search-book). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Enterprise Architect, Unified Search & Book - **Company:** Priceline LLC - **Location:** Norwalk, CT, United States (Remote available) - **Salary:** $175,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Audit Trail, BigQuery, Cloud Engineering, Continuous Integration, Data Governance, Distributed Systems, Electronic Data Interchange (EDI), Elasticsearch, Python (Programming Language), PCI Data Security Standards, Software Engineering, Spring-boot, Technical Debt, Indexer, Event Driven Architecture, Apache Kafka, Api Design, OpenSearch, Legacy Systems, Microservices - **Published:** November 4, 2026 - **Apply:** https://www.adzuna.com/details/5952563447 ## About the Role * Strategic thinker and clear communicator who can influence executives, peers, and engineers. * 12+ years in software engineering and architecture with experience designing systems across search, recommendation, API-first and cloud-native architectures, microservices, and AI/ML (including generative AI); experience with checkout, booking, or related travel and ecommerce journeys a plus. * Hands-on software engineering background with strong full-stack technical credibility; strong preference for Java or Spring Boot and Python, plus fluency in API design, event-driven systems, CI/CD, testing, and observability practices. * Proficient in data modeling across relational and non-relational stores, selecting fit-for-purpose datastores with the right access pattern, consistency, resiliency, indexing, and partitioning strategies. * Cloud-native experience-ideally GCP (GKE, AlloyDB, Spanner, BigQuery, Elasticsearch) and Aiven (OpenSearch, Kafka). * Experience working in environments requiring PCI DSS, SOX, SOC 2, and GDPR, with strong practices in auditability, traceability, and data governance. * Bias for clarity and simplicity-reducing complexity and enabling teams to move faster and smarter. * Analytical problem-framer who reduces ambiguity into clear, actionable components. * Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability, and Trust. * The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics are essential. ## Description As the Principal Enterprise Architect for Search & Book, you'll define the architectural vision and technical strategy for both Search & Book platforms - that includes search & recommendation engine, unified search orchestration, checkout, booking-engine, and reservation management system & payment servicing across Priceline's customer journey. You'll help shape the next-generation architecture that enables customers to search and book effortlessly through a modern, seamless, and trusted experience. Built on an extensible, high-performance platform that empowers other product teams to innovate faster and drive stronger search & checkout conversion. In this role, you will get to: * Define the long-term architecture vision for Search & Book, with a practical roadmap and clear milestones. * Strengthen the systems behind search resolution, typeahead, AI-powered discovery, booking-engine, and reservations management systems to improve speed, reliability, and scalability. * Design system or patterns that can be scaled for agentic commerce. * Design distributed systems that balance performance, resiliency, cost, and maintainability at scale. * Partner across Engineering, Product, Data, Analytics, Customer Care, and platform teams to establish clear ownership and integration patterns. * Create reusable standards for APIs, event-driven systems, data exchange, experimentation, observability, and service integration. * Lead modernization efforts that simplify legacy systems and reduce technical debt. * Evaluate new technologies and vendors through technical analysis, proofs of concept, and ROI assessments. * Identify practical opportunities to apply AI and ML to improve search relevance and checkout experience. * Mentor senior and staff engineers while promoting clear thinking, simplicity, and strong engineering practices.