Data Engineer II, CMT

Amazon is hiring a Data Engineer II, CMT in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
The posting mentions AWS, EC2 and Lambda among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Architect scalable AI-native data infrastructure and real-time processing pipelines to power Amazon's pricing and catalog optimization.

AWSEC2LambdaS3RedshiftEmrCdk

ai-agentsdata-engineeringai-infrastructurereal-time-processingpipeline-architectureaws-infrastructure

As a Data Engineer II on the Data Engineering team, you will own and drive the design of scalable data systems that power Amazon's pricing and catalog optimization. You'll lead technical initiatives at the intersection of data engineering and AI, architecting solutions that process large-scale data across Amazon's global operations. You'll 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

Basic qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Bachelor's degree

Preferred qualifications

- 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)

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Data Engineer II, CMT at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II, CMT is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on August 12, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsData EngineeringAI InfrastructureReal Time ProcessingPipeline ArchitectureAWS InfrastructureAWSEC2

Also common in data engineer jobs at this level

Python Spark Machine learning Databricks Azure Airflow

Pay

Typical data engineer job: $147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Tell me about a project where real time processing was part of your work. What did you do?
Tell me about a project where pipeline architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Data Engineering, AI Infrastructure, Real Time Processing, and Pipeline Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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