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.
Key Responsibilities- Data Engineering & Platform Ownership
- 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
E-Commerce Analytics Enablement- 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
Leadership & Cross-Functional Collaboration- 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.
Governance, Security & Compliance- 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
- Prepare for the future
- Establish an internal AI strategy that raises the productivity of the entire company.
- Extend the data platform to support externally-facing AI features.
Qualifications:
Required- 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.
Preferred- 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.
Success Metrics- Stability, reliability, and performance of data pipelines and platforms, including across a full platform migration.
- Speed and quality of delivery for priority data initiatives.
- Adoption and business impact of data products across e-commerce teams.
- Engagement, growth, and retention of the data team.
Job Type: Full-time; Hybrid role; NYC based (Brooklyn office space)
Salary: $200,000 - $220,000 per year + Discretionary Bonus
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
The above statements describe the general nature of work being performed in this role, they are not an exhaustive list of all responsibilities, duties and skills required. Additional responsibilities may be required from time to time.
