Sr Manager, Data Engineering , Amazon Selling Partner Verification

Amazon • Seattle, WA

2d

About The Position

As the leader of the Seller Verification Services (VS) Data function, you will
drive the transformation of Amazon's global seller verification and onboarding
systems. VS operates at the intersection of trust and scale—enabling legitimate
sellers to onboard quickly while preventing bad actors from accessing the Amazon
marketplace. Our organization combines engineering, analytics, product
management, and program expertise to verify millions of entities annually.

You will lead the data infrastructure that powers verification decisions across
Amazon's worldwide stores. This includes building scalable data pipelines,
developing analytical frameworks, and enabling machine learning models that
assess seller legitimacy in real-time. Your work will directly impact seller
experience, marketplace integrity, and Amazon's ability to grow its third-party
selling business globally.

The Sr Manager, Data Engineering role owns a portfolio of data engineering,
business intelligence, and analytics teams that solve complex verification
challenges. You will partner with product managers, software engineers, data
scientists, and business leaders to deliver data infrastructure, modeling
capabilities, and insights that drive verification effectiveness. This role
requires proven people management experience and the ability to define and
execute strategy across a global technical ecosystem.

The ideal candidate excels at building simple, elegant solutions that scale. You
think holistically across organizational boundaries, translating business
problems into technical solutions. You create collaborative outcomes, ensure
systems are reliable and secure, and always prioritize the customer experience.

The Verification Services team has evolved over 8+ years through scope expansion
and organizational integration. Our leadership team brings diverse backgrounds
in engineering, product, program management, operations, science, and business
intelligence.

Requirements

• Bachelor's degree
• 8+ years of data engineering experience
• 5+ years of engineering team management experience
• Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment
• Experience leading global teams

Nice To Haves

• Experience working with data engineers and business intelligence engineers collaboratively
• 3+ years of identity verification/fraud detection process experience
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience in regulatory compliance management with government agencies

Responsibilities

• Set organizational priorities by balancing customer experience, stakeholder requirements, and business impact. Define success metrics and ensure teams focus on high-leverage work.
• Define the long-term technical vision for data infrastructure, analytics, and machine learning enablement. Design systems that scale with business growth and adapt to evolving verification requirements.
• Deliver high-quality data engineering solutions including production-grade pipelines, data models, and analytical tools. Build rapid prototypes to validate approaches and gather user feedback.
• Collaborate with product and business leaders to translate verification requirements into technical solutions. Partner with science teams to productionize models and with engineering teams to integrate data systems.
• Hire and develop talent across data engineering, business intelligence, and analytics disciplines. Build a high-performing organization capable of solving Amazon's most complex verification challenges.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager