Data Engineering Manager, WW FBA Central Analytics
Data Engineering Manager, WW FBA Central Analytics
Posted on :
17-09-2025
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1 Vacancy
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Job Description
Worldwide Fulfillment by Amazon (WW FBA) empowers millions of sellers to scale globally through Amazons leading fulfillment network. FBA sellers deliver fast reliable Prime-eligible shipping and hassle-free returns to customers worldwideenabling them to focus exclusively on business growth while Amazon handles operational logistics. The WW FBA Central Analytics team architects and maintains data infrastructure that delivers critical insights to WW FBA leadership. This team forms strategic partnerships across global product program and technology teams to unify datasets implement self-service analytics platforms and develop AI capabilities that transform raw data into insights.
We are seeking a Data Engineering Manager who will lead a high-performing analytics team that supports WW FBAs core metrics and reporting providing the critical data foundation for business reviews operational insights and dashboards that inform WW FBA decisions. You will manage a team of Data Engineers BIE and Business Analysts coordinating execution and driving high standards for data quality delivery velocity and operational excellence.
Key job responsibilities
- Own technical delivery and team leadership for development and maintenance of scalable ETL pipelines semantic layers and dashboard data models.
- Collaborate with Program Managers BI teams and stakeholders to prioritize work aligned with FBA business goals.
- Establish best practices for data engineering including code reviews testing monitoring and documentation.
- Drive team growth through mentoring coaching and career development.
- Partner with the GenAI platform team to align data governance schema standardization and data contracts where applicable.
- 5 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- 5 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
- 5 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
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are seeking a Data Engineering Manager who will lead a high-performing analytics team that supports WW FBAs core metrics and reporting providing the critical data foundation for business reviews operational insights and dashboards that inform WW FBA decisions. You will manage a team of Data Engineers BIE and Business Analysts coordinating execution and driving high standards for data quality delivery velocity and operational excellence.
Key job responsibilities
- Own technical delivery and team leadership for development and maintenance of scalable ETL pipelines semantic layers and dashboard data models.
- Collaborate with Program Managers BI teams and stakeholders to prioritize work aligned with FBA business goals.
- Establish best practices for data engineering including code reviews testing monitoring and documentation.
- Drive team growth through mentoring coaching and career development.
- Partner with the GenAI platform team to align data governance schema standardization and data contracts where applicable.
- 5 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- 5 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
- 5 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
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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