Senior Director of Data Engineering

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October 23

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Stord

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eCommerce • Logistics • Software

Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.

501 - 1000 employees

Founded 2019

🛍️ eCommerce

📋 Description

• Lead Major Data Platform Transformation: Architect and execute our multi-million dollar modernization from legacy infrastructure to cloud-native, AI-ready data systems supporting $10B+ in commerce annually • Build AI-First Data Infrastructure: Design and implement real-time streaming architectures, feature stores, and MLOps pipelines that enable demand forecasting, intelligent routing, and autonomous warehouse operations • Scale High-Performance Teams: Transform and grow our data engineering organization from EDW-focused to full-stack capabilities, building career development frameworks and establishing engineering excellence practices • Drive Direct Business Impact: Partner with cross-functional teams to deliver embedded analytics, predictive models, and data products that increase customer retention, optimize operations, and enable revenue growth • Architect Competitive Advantages: Create data systems and capabilities that differentiate Stord in the market, enabling real-time insights, proactive customer communication, and AI-powered supply chain intelligence

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field • 10+ years of data engineering leadership experience with proven track record of scaling teams and delivering complex technical transformations at high-growth companies • Expert-level experience with modern data stack technologies including BigQuery, DBT, streaming platforms (Kafka/Pulsar), and cloud-native architectures (GCP preferred) • Hands-on experience building both traditional data warehouses and real-time ML infrastructure including feature stores, model serving, and MLOps pipelines • Demonstrated success in team leadership, technical mentorship, and establishing data governance frameworks at scale • Strong business acumen with ability to translate technical strategy into measurable business outcomes and communicate effectively with C-level executives.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities