Cloud Supply Chain | Fulfillment, Transportation & Technology

Senior Director of Data Engineering

Data EngineerData EngineerFull TimeRemoteTeam 501-1,000Since 2019H1B SponsorCompany Site LinkedIn

Location

United States

Posted

143 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishBig QueryCloudGoogle Cloud PlatformKafkaPulsar

Job 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

Job 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.