Manager of Data Engineering

Moda Operandi • Brooklyn, NY

2d • Hybrid

About The Position

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.

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-scale data platforms in an e-commerce or digital business.
• Strong hands-on experience using modern data tools and frameworks.
• Experience with cloud data platforms and warehouses such as Snowflake, BigQuery, Redshift, Looker, Tableau, dbt.
• Demonstrated ability to deliver reliable, high-quality data products that support analytics, reporting, and machine learning.

Nice To Haves

• Experience in luxury retail, fashion, or premium consumer e-commerce environments.
• Familiarity with real-time data streaming, personalization systems, and customer 360 data models.
• Exposure to ML or AI data pipelines, including feature stores or MLOps concepts.
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Hands-on experience with Moda’s core technologies: Shopify, NetSuite, Snowflake, and/or Looker.

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.

Benefits

• Medical, Dental & Vision Insurance Benefits (day1)
• 401(k) with Company Match
• Company Paid Life Insurance Benefit
• Voluntary Supplemental Insurance Benefits (STD, LTD, Accident, Critical Illness)
• Unlimited Paid Time Off (Exempt & FT)
• Tuition Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed