Staff Platform Architect, Data & AI

🕒 Agosto 7

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $133.109 - $239.596 / ano

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 8%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Experian

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Experian libera o poder dos dados para criar oportunidades para consumidores, empresas e a sociedade.

Descrição

• Evolve existing batch, analytics, and MLOps platforms to improve reliability, cost, and operational efficiency • Develop infrastructure for semantic and ontology layers, including authoring and governance tooling, lifecycle management, and catalog integration • Design usage infrastructure including APIs, libraries, and services for internal users, client-facing products, and AI agents • Implement permission-aware semantic discovery • Guide technology adoption across engineering teams through well-reasoned architectural choices • Lead prototyping and R&D efforts with analytics product and engineering teams • Mentor engineers in system design, first-principles thinking, and product awareness • Report to the Sr. Director of Platform Engineering as an individual contributor

🎯 Requisitos

• 10+ years of software engineering experience focused on enterprise-scale data platforms, analytics infrastructure, and AI/ML systems • Bachelor's Degree or higher in science, technology, engineering, or a related field • Experience building or operating MLOps platforms from data access and feature engineering through model deployment and monitoring • Experience with data modeling, schema design, and data quality • Hands-on experience with AI agent-based architectures for governed data access, semantic discovery, and enterprise data retrieval • Experience designing federated catalog architectures for unified data access across platforms and data silos • Experience with security, compliance, governance, data residency, and access control for AI/ML workloads • Experience with distributed computing, cloud-native infrastructure, and large-scale public-cloud data workloads such as AWS • Comfort with infrastructure as code and operating production workloads • Demonstrated experience managing and evolving shared platform architectures • Experience driving architectural agreement through technical influence, reference architectures, and hands-on collaboration • Background in credit risk, financial services, or other regulated data domains

🏖️ Benefícios

• Great compensation package and bonus plan • Medical, dental, and vision benefits • Matching 401K • Flexible work environment • Ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays • Variable pay opportunity • Comprehensive benefits package