Data Engineering Manager, Digital Acceleration
Data Engineering Manager, Digital Acceleration
Posted on :
22-08-2025
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1 Vacancy
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Job Description
Amazon is seeking an experienced Data Engineering Manager to lead and scale a team building next-generation data analytics platforms that power digital businesses across Amazon.
You will architect and deliver enterprise-wide analytical datamarts while defining metrics strategy for analyzing DA product health and
success. This role involves delivering large-scale architecture and solutions that accelerate digital customer insights and data
instrumentation for cross-digital content optimization. Youll leverage data lakes distributed processing NoSQL databases and batch/stream processing to solve business analytics and ML use-cases
The MIDAS team is part of Amazons Digital Analytics (DA) engineering organization specializing in analytics and data engineering products for cross-digital teams. Our comprehensive platform includes metadata discovery data lineage tracking customer segmentation compliance automation AI-powered data access through generative AI and LLMs and intelligent data quality detection. We serve over 100 Amazon business and technology teams with 20000 monthly active users delivering mission-critical capabilities that enable data-driven decision making at Amazon scale.
Key job responsibilities
You will partner with Software Developers Data Engineers and ML Scientists to create analytical BI and data products. The role offers broad
scope to think big on behalf of Amazons digital content subscription and device customers with wide visibility to connect with digital
leadership and influence through high-value BI insights and analytical tools.
The ideal candidate has strong business judgment excellent written and verbal communication skills and is comfortable working with business
leaders at all levels including senior management.
About the team
Amazon Digital Acceleration powers ordering subscriptions and device management for Prime Amazon Video Music Audible Alexa and Kindle amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earths best provider of one-time and recurring digital commerce delivering a seamless and enjoyable post-purchase customer experience.
- 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
- 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153000/year in our lowest geographic market up to $264500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
You will architect and deliver enterprise-wide analytical datamarts while defining metrics strategy for analyzing DA product health and
success. This role involves delivering large-scale architecture and solutions that accelerate digital customer insights and data
instrumentation for cross-digital content optimization. Youll leverage data lakes distributed processing NoSQL databases and batch/stream processing to solve business analytics and ML use-cases
The MIDAS team is part of Amazons Digital Analytics (DA) engineering organization specializing in analytics and data engineering products for cross-digital teams. Our comprehensive platform includes metadata discovery data lineage tracking customer segmentation compliance automation AI-powered data access through generative AI and LLMs and intelligent data quality detection. We serve over 100 Amazon business and technology teams with 20000 monthly active users delivering mission-critical capabilities that enable data-driven decision making at Amazon scale.
Key job responsibilities
You will partner with Software Developers Data Engineers and ML Scientists to create analytical BI and data products. The role offers broad
scope to think big on behalf of Amazons digital content subscription and device customers with wide visibility to connect with digital
leadership and influence through high-value BI insights and analytical tools.
The ideal candidate has strong business judgment excellent written and verbal communication skills and is comfortable working with business
leaders at all levels including senior management.
About the team
Amazon Digital Acceleration powers ordering subscriptions and device management for Prime Amazon Video Music Audible Alexa and Kindle amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earths best provider of one-time and recurring digital commerce delivering a seamless and enjoyable post-purchase customer experience.
- 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
- 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153000/year in our lowest geographic market up to $264500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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