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Amazon · 4 hours ago

Data Engineering Manager, Amazon Leo AI Foundations

Redmond, WA

Full-time

Onsite

Senior Level

$153K/yr - $264K/yr

5+ years exp

Amazon is a leading technology company known for its innovative services and solutions. They are seeking a Data Engineering Manager to design and implement scalable systems for their Leo AI Foundations, which will enhance internet connectivity through advanced data engineering practices. The role involves building cloud services and APIs to support intelligent operations across satellite and ground systems.

Artificial Intelligence (AI)DeliveryE-CommerceRetail

No H1B

U.S. Citizen Only

Responsibilities

Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources

Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer

Establish metadata management with automated data classification and lineage tracking

Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates

Architect a centralized metrics repository that becomes the source of truth for all Leo metrics

Implement robust data quality frameworks with staging-first policies and automated validation pipelines

Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns

Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails

Lead the design of semantic data models that balance analytical performance with AI retrieval requirements

Implement cross-domain federated query capabilities with sophisticated query optimization techniques

Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times

Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval

Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards

Qualification

Data EngineeringAWS TechnologiesBig Data TechnologiesRelational DatabasesScripting LanguagesData StructuresETL/ELT ProcessesTeam ManagementCommunication Skills

Required

3+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience

3+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience

3+ 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