Director, Data Engineering – Data Science Engineering

🕒 April 29

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $171.3k - $214.1k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Ritchie Bros.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

🚗 Transport

💰 Post-IPO Equity on 2023-01

eCommerce • Transport • Construction

Ritchie Bros. is a leading auctioneer specializing in the selling of heavy equipment and trucks for various sectors such as construction, agriculture, and oil & gas. They conduct live and timed auctions globally, making it easy for buyers and sellers to participate online. With a wide variety of categories including cranes, forklifts, and more, Ritchie Bros. offers financing options and partnerships with shipping providers to facilitate easy asset movement worldwide.

📋 Description

• 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

🎯 Requirements

• 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.