Engineering Manager - Data Platform

Engineering Manager - Data Platform, Selling Partner Identity Verification (SPIV)

Selling Partner Identity Verification (SPIV) team ensures that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products. Our mission is to build trust with our Customers and Selling Partners as we scale through technology, analytics, and science. We’re committed to service as a center of excellence for Amazon.
As part of SPIV, Seller Registration owns variety of products which enables us to collect data from WW Sellers in order to let them sell on Amazon marketplace. Our mission is to: (a) make it simple and fast for Sellers to register globally, (b) verify the identity of every person and business selling on Amazon through the Seller lifecycle, and (c) use automation to achieve accuracy, speed, and scale. When we are successful, we enable Marketplace growth and build trust with our Customers. Registration Systems receive ~1.5M hits per week and strive towards providing a seamless experience that cannot be exploited by bad actors. As of today, sellers who intend to go global on Amazon need to register in each region and thus, go through the tedious registration process multiple times, which leads to friction for potential global sellers.
We are looking for a Software Development Manager with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale. As part of leading a team of engineers, you will have the opportunity to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can reshape the e-commerce industry.
We are seeking someone who has strong technical, project and people skills with a can-do attitude and a focus on delivering high quality software. We move at a fast pace and deliver software iteratively using AGILE best practices and the latest technologies.
The Ideal Candidate:


Must be technically credible to lead teams of world-class software engineers and technical program managers. Must be able to make the right design decisions related to product features and technology choices.

Deep understanding of overall systems development life cycle including various methodologies (agile, waterfall, iterative)

Experienced in developing the long-term strategy for the settlement platforms and translate that into an achievable roadmap

Experienced in building and managing teams that design and deliver scalable and extensible distributed systems to address complex business challenges.

Understands how to scope and justify resources and budget needs to senior leaders and finance partners

Consistent focus on operational excellence and security of systems.

Experience with open source technologies, object-oriented design, and agile development methodologies

Basic Qualifications

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Experience Level

Mid Level