Senior Manager Data Engineering
Wayfair · Posted Nov 7
Online retail platform for home furnishings, furniture, decor, and housewares
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About the role
Wayfair's technology and data platforms power digital experiences, analytics and machine learning for home shopping. The data engineering organization enables personalized customer experiences, intelligent product discovery and data-driven business decisions at scale. This role leads Customer Technology's data engineering organization across Marketing, Storefront, and Search & Recommendations, defining strategy and building data platforms that connect the end-to-end customer journey.
What you will do
- Lead and develop engineering managers, technical leaders and teams across a broad data engineering portfolio.
- Build an effective organization through thoughtful team design, hiring, succession planning and developing future leaders.
- Set clear expectations for leaders and teams, create accountability for outcomes and foster an inclusive culture of collaboration, learning and high standards.
- Coach leaders through complex technical and organizational challenges, helping them make sound decisions and grow their teams’ capabilities.
- Define the portfolio vision, strategy and multi-quarter roadmap across the teams.
- Connect investment decisions and delivery priorities to customer and business outcomes; make trade-offs explicit and align stakeholders around them.
- Establish operating mechanisms that support predictable delivery, transparent progress, early risk identification and continuous improvement across teams.
- Build strong partnerships with Product, ML Science, Analytics and Software Engineering leaders, translating shared priorities into coordinated plans and measurable results.
- Represent the portfolio in senior technology and business discussions, communicating strategy, performance, risks and investment needs with clarity.
- Align strategy, roadmaps and data definitions across the teams to advance Customer Technology initiatives and improve the end-to-end customer experience.
- Set technical direction with EM’s , senior engineers and architects across cloud storage, processing, orchestration and serving; ensure teams make sound trade-offs across reliability, performance, cost and speed.
- Guide reusable cross-domain data products that connect marketing engagement, storefront behavior, search and recommendation interactions and conversion outcomes.
- Ensure each domain has reliable, fit-for-purpose data foundations and products, with clear ownership and quality standards.
- Own portfolio-wide outcomes and standards for data freshness, quality, reliability, usability and cost across batch and real-time use cases; strengthen observability, governance, data contracts, lineage and discoverability, and simplify the ecosystem to support evolving analytics and AI/ML needs.
- Ensure teams have effective operating practices for service health, incident response, capacity, cost management and learning from production issues.
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- 12+ years of overall experience in data engineering or related technology roles, including at least 5 years leading large engineering teams and 2 years managing multiple Engineering Managers.
- Demonstrated success leading through managers and technical leaders, developing leaders, building effective teams and creating a culture of accountability and inclusion.
- Experience setting strategy and roadmaps for a broad engineering portfolio, aligning investment and execution to measurable business or customer outcomes.
- Strong technical judgment in data architecture and modeling, including dimensional modeling, change data capture, incremental processing and data versioning.
- Experience with cloud data platforms; experience with Google Cloud Platform, BigQuery and Google Cloud Storage is especially relevant.
- Enough hands-on technical depth to challenge designs and guide architecture across SQL/Python/Spark pipelines, data modeling, performance and cost—while enabling teams to own implementation.
- Experience with streaming technologies and services such as Kafka, Pub/Sub or Dataflow.
- Experience operating production data platforms with strong reliability, data quality, observability and service-management practices.
- Ability to build alignment across functions and communicate complex decisions, trade-offs and risks to senior technical and non-technical stakeholders.
Preferred qualifications
- Experience in e-commerce or another large-scale consumer product environment, particularly in digital customer experiences.
- Experience leading clickstream, behavioral analytics, event-data or customer interaction data organizations.
- Experience leading platform modernization or migration programs while protecting downstream service and consumer continuity.
- Exposure to NoSQL databases or business intelligence tools such as Looker, Tableau, AtScale or Power BI.
- Experience enabling AI/ML applications through reliable, context-rich data products.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Wayfair
Wayfair is a leading online e-commerce platform specializing in home furnishings, decor, home improvement, and housewares. The company offers millions of items from thousands of global suppliers, serving customers across North America and Europe. Wayfair also operates several specialty and luxury retail brands including AllModern, Birch Lane, Joss & Main, and Perigold.
- Industry
- E-Commerce
- Company size
- 10001+ employees
- Founded
- 2002
- Location
- Boston, Massachusetts, USA
- Funding stage
- Public Company
Funding
Public Company · $4.9B raised
- 2026-05-13Post Ipo Debt$700M
Leadership
Co-Founder, Chief Executive Officer, and Co-Chairman
Co-Founder and Co-Chairman
Chief Financial Officer and Chief Administrative Officer
Chief Technology Officer
President
Recent coverage
Home Page News
Wayfair Launching New 'Way Day' Promotion, Adds Perigold Luxury Loyalty Program2026-10-15
Wayfair Investor Relations
Wayfair Announces Second Quarter 2026 Results, Reports Strongest Free Cash Flow Since 20202026-08-04
Wayfair Investor Relations
Wayfair Schedules Third Quarter 2026 Earnings Release and Conference Call2026-10-01