Manager of Data Engineering

About the role

Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function supporting Moda Operandi, a luxury e-commerce business. This role is a player-coach who owns the design, delivery, and operation of scalable data infrastructure that powers the full digital customer journey — including personalization, merchandising insights, inventory visibility, and performance analytics. The ideal candidate brings data engineering expertise, people leadership, and experience partnering across product, engineering, and business teams in a high-expectation retail environment.

Responsibilities

• Lead the design, development, and operation of scalable, production-grade data pipelines across e-commerce, CRM, ERP, order management, inventory, and marketing systems.
• Architect and evolve the enterprise data platform, including data lakes, data warehouses, semantic layers, and APIs for analytics and downstream consumption.
• Ensure data reliability, quality, lineage, observability, and performance across all pipelines and datasets.
• Drive adoption of modern data engineering tools and best practices, including orchestration, transformation, and CI/CD for data workflows.
• Partner with product, marketing, merchandising, and operations teams to define and deliver trusted datasets that support:
  • Customer conversion and lifetime value analysis
  • Product and category performance insights
  • Personalization, loyalty, and experimentation use cases
  • Support near-real-time and real-time data flows to enable personalization engines, marketing tech, and A/B testing platforms.
• Implement self-service AI and analytics tools to replace manual, fragmented report requests.
• Manage, mentor, and grow a team of data engineers and data analysts, fostering a culture of technical excellence, accountability, and continuous improvement.
• Translate business requirements into scalable technical solutions, balancing short-term delivery with long-term platform health.
• Define and enforce data architecture standards, documentation, and governance practices.
• Influence data strategy and roadmap in alignment with broader digital and brand experience goals.
• Establish and maintain data governance, privacy, and access controls in line with GDPR, CCPA, and internal security standards.
• Partner with Security and Risk teams to support audits, data classification, and incident response related to data systems.
• Establish an internal AI strategy that raises the productivity of the entire company.
• Extend the data platform to support externally-facing AI features.

Requirements

• 5-8 years of experience in data engineering or analytics engineering, with 1-3 years in a leadership role.
• Proven experience building and operating large