Director, Data Engineering – Data Science Engineering

🕒 Abril 29

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $171.290 - $214.140 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Ritchie Bros.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🛍️ Comércio Eletrônico

🚗 Transporte

💰 Post-IPO Equity em 2023-01

eCommerce • Transport • Construction

Ritchie Bros. é um leiloeiro líder especializado na venda de equipamentos pesados e caminhões para vários setores, como construção, agricultura e petróleo & gás. Eles realizam leilões ao vivo e cronometrados globalmente, facilitando a participação online de compradores e vendedores. Com uma ampla variedade de categorias, incluindo guindastes, empilhadeiras e mais, a Ritchie Bros. oferece opções de financiamento e parcerias com provedores de transporte para facilitar o movimento fácil de ativos em todo o mundo.

Descrição

• Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

🎯 Requisitos

• Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent • Deep expertise in the Azure BI / data technology stack, including: • Microsoft Fabric • Azure Synapse Analytics • Power BI • Broader Azure data and analytics services • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines • Strong foundation in data science, machine learning, and model operationalization • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders • Strong executive presence and the ability to connect technical decisions to business outcomes.