Data Engineer II, CMT

As a Data Engineer II on the Data Engineering team you will own and drive the design of scalable data systems that power Amazons pricing and catalog optimization. Youll lead technical initiatives at the intersection of data engineering and AI architecting solutions that process large-scale data across Amazons global operations. Youll mentor junior engineers influence technical direction and deliver high-impact data products with measurable business outcomes.


Key job responsibilities
AI-Native Infrastructure & Real-Time Processing
Design and architect AI-native infrastructure supporting real-time data processing for AI/ML inference training and continuous learning at scale
Lead the development of semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access across the organization
Architect infrastructure for agentic AI systems with multi-agent orchestration defining patterns and best practices for the team
Drive GenAI-powered data quality entity resolution and metadata management strategies that raise the bar for data integrity

Data-as-a-Product Delivery
Own end-to-end accountability for complex data products from ingestion to consumption defining SLAs and driving adoption across stakeholders
Lead the delivery of data products with measurable quality metrics customer satisfaction targets and continuous improvement mechanisms
Design and build self-service platforms with embedded governance lineage and discovery enabling teams to independently access and trust data
Define data contracts and API standards for reliable versioned data consumption across downstream consumers

AWS Infrastructure & Pipeline Engineering
Architect and optimize AWS infrastructure: EC2 Lambda S3 Redshift EMR balancing performance reliability and cost
Design high-throughput fault-tolerant pipelines supporting analysts data scientists and AI agents at global scale
Lead implementation of CDC and event-driven architectures for sub-minute data availability with end-to-end observability
Drive infrastructure-as-code best practices using CDK establishing reusable patterns and deployment standards

Technical Leadership & Operational Excellence
Mentor Data Engineer I team members conducting code reviews and elevating engineering standards
Own operational health of critical pipelines driving root cause analysis and long-term prevention strategies
Author and maintain technical design documents influencing architectural decisions across the team
Lead peak readiness efforts and incident response ensuring system reliability during high-traffic events
Drive automation initiatives that reduce operational toil and enable non-linear scaling


- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Bachelors degree

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

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