Principal Staff Software Engineer, Data Infrastructure

Leads data engineering initiatives, designing and building scalable data pipelines and infrastructure. Mentors engineers and ensures data quality, reliability, and performance.

This engineering-first, developer-architect role owns the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures. The Lead Architect will spend 70-80% of their time designing solutions, building and packaging reusable patterns, and prototyping new concepts in code, with the remaining time in client-facing advisory. This role requires production fluency with Terraform, deep Azure data platform experience, and hands-on AI solution design including RAG and agentic workflows.

This lead role is responsible for designing and building data pipelines and infrastructure, leading a team to ensure data quality, availability, and scalability for analytics and machine learning. The engineer will architect robust data solutions to support Amadeus's data-driven initiatives.

This principal-level role leads data engineering efforts, architecting scalable data systems and mentoring engineers. It requires deep expertise in distributed systems, big data technologies, and cloud infrastructure.

This role analyzes and optimizes LinkedIn's infrastructure operations, using large datasets to develop metrics and provide insights that improve efficiency and reduce costs. The analyst collaborates with engineering teams to drive operational excellence and support data-driven decision-making.

This role develops and maintains ServiceNow applications and integrations to support LinkedIn's internal IT service management. The engineer automates workflows, improves system reliability, and collaborates with cross-functional teams to enhance the ServiceNow platform.

Diese Rolle verwaltet und entwickelt ein Portfolio von Enterprise-Kunden in der DACH-Region und stellt sicher, dass diese ihre Geschäftsziele mit den Lösungen von LinkedIn erreichen. Der Manager baut starke Beziehungen auf, fördert die Produktadoption und identifiziert Upsell-Möglichkeiten, um Kundenerfolg und Umsatz zu maximieren.