Data Engineering Manager, QuBIT

Global Customer Fulfillment (GCF) is seeking a Data Engineering Manager to lead the Quantitative Business Intelligence Tools (QuBIT) team in delivering enterprise-scale data solutions across our fulfillment network. You will manage a high-performing team of Data Engineers (DE) and Business Intelligence Engineers (BIE) while architecting solutions that provide seamless data access across hundreds of fulfillment centers shipping millions of packages annually. Every shipment represents an opportunity to improve customer service and pricing through data-driven insights.

As the QuBIT team leader, you'll establish data engineering excellence and democratize data access through scalable BI solutions. You'll oversee both complex data engineering initiatives and business-critical reporting solutions while standardizing reporting frameworks to transform raw data into actionable insights. The role combines strategic data architecture with hands-on leadership, managing teams that build scalable reporting and analytics solutions, implement automation initiatives, and own key business metrics.

You'll develop and prioritize project roadmaps as your team creates complex analytics solutions at scale, focusing on operational excellence. Working closely with senior leaders and PMs, you'll influence strategic decisions and drive data-informed decision making throughout the network, engaging with leadership across all organizational levels from fulfillment centers to corporate offices.

Key job responsibilities
Lead data engineering strategy, manage team of engineers, architect solutions, and partner with senior leadership to align technical initiatives with business objectives

Design and implement enterprise data warehouse solutions, ETL processes, and data lake architectures while establishing data quality/governance standards

Drive analytics excellence through automated reporting (MBR/QBR/WBR), BI tools implementation, and deep-dive analyses to deliver actionable business insights

Develop scalable data solutions, optimize data models, automate reporting pipelines, and implement self-service capabilities to support growing business demands

Partner with Engineering teams on data integration, maintain technical excellence, guide new technology adoption, and ensure high-quality solution delivery

Build strong cross-functional relationships, communicate effectively across organizational levels, and drive data-informed decision making throughout the company

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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,000/year in our lowest geographic market up to $264,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.