Data Engineering Manager, Digital Acceleration
Amazon.com
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. You'll 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 Amazon's 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 20,000+ 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 Amazon's 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 earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.
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. You'll 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 Amazon's 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 20,000+ 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 Amazon's 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 earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.
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