Principal Enterprise Architect, FinTech

Responsibilities

• Define and evolve the target‑state Fin Tech architecture aligned to Priceline’s long‑term business and technology objectives, with a pragmatic, phased roadmap and measurable interim milestones
• Design complex, distributed systems that are reliable, scalable, secure, and cost‑effective—grounded in explicit trade‑offs and consistent with Priceline’s infrastructure and operations standards
• Partner with Finance, Accounting, Risk, and Engineering leaders to increase transparency, control, and agility in financial decision‑making
• Deliver AI/ML‑driven improvements in anomaly detection, forecasting, fraud‑risk scoring, and reconciliation automation, in partnership with Finance, Accounting, Risk, and Engineering leaders
• Partner with business unit leaders and Enterprise Architects to drive well‑founded technology choices and establish scalable, reusable patterns and platform‑aligned designs across teams
• Evaluate emerging technologies, architectural patterns, and vendors—leading build/buy/partner analyses, proofs of concept, and TCO/ROI assessments to de‑risk decisions
• Lead architecture governance by codifying standards and guardrails, managing technical debt, ensuring compliance, and reducing architectural risk
• Coach senior and staff engineers, uplevel engineering practices, and cultivate a culture of clarity, simplicity, and continuous improvement

• 10+ years in software engineering and architecture, with experience across financial systems, integration patterns, API‑first design, cloud, microservices, data pipelines, and AI/ML (including generative AI)
• Hands‑on software engineering background (strong preference for Java/Spring Boot and Python) with fluency in API design (gRPC/REST/GraphQL), Dev Ops/CI/CD, testing/QA, and observability/SRE practices
• Experience building event streaming and data pipelines using Kafka and tools such as Informatica Cloud (IICS), GCP Dataflow, Spark, Airflow, and dbt
• Proficient in data modeling across relational and non‑relational stores, selecting fit‑for‑purpose data stores with the right access pattern, consistency, resiliency, indexing, and partitioning strategies
• Proficient in one or more ERP platform ecosystems—ideally Oracle E‑Business Suite (EBS), Oracle Integration Cloud (OIC), and Oracle Data Integrator (ODI)
• Cloud‑native experience—ideally GCP (GKE, Dataflow, Cloud Composer, Dataproc, Big Query, Looker, Vertex AI)
• 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