Sr. AI Platform Data Engineer

We seek an AI Platform Builder who works at the intersection of data engineering and data science. You will build platforms, develop Agentic Artificial Intelligence (AI) solutions, and create scientific solutions that drive marketplace innovation.
You will design and implement platform features, curated datasets that power self-service analytics and intelligent automation. Your work will include:
Using AI agents to write and optimise code
Building AI-powered platforms that serve ML models
Deploying intelligent agents that democratize data access
This is an opportunity to work at the forefront of AI-powered data engineering, where you'll not only leverage AI tools but also build the next generation of AI-enabled data platforms. You'll have the autonomy to own projects end-to-end while helping shape the future of automotive shopping experiences on Amazon.
Responsibilities:
Build and maintain efficient, scalable data pipelines and curated datasets optimised for AI/ML consumption.
Implement systems for automated data classification to transform business problems into analytical solutions.
Develop AI-native self-service data platforms using an AI-first methodology.
Create AI-powered platforms with natural language interfaces for data access.
Serve as a technical partner to business stakeholders, data science teams, and cross-functional partners.
Deliver well-modelled, discoverable data optimised for specific use cases.
Design and build curated datasets using AI code generation and Agentic AI tools.
Communicate insights and recommendations to product, business, and technology partners.
Architect and scale services based on program vision.
Recommend optimal strategies for quantifiable business impact.
Break down complex challenges into manageable projects.
Make pragmatic decisions to reduce risk.
Lead AI-augmented workshops for stakeholders.
Design and build curated datasets using AI code generation tools.
Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools.
Implement and enhance AI-powered self-service platforms.
Create and maintain intelligent governance systems.
Design and build curated datasets using AI code generation tools.
Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools.
Implement and enhance AI-powered self-service platforms.
Create and maintain intelligent governance systems.
Requirements:
8+ years of data engineering experience.
Experience with data modelling, warehousing and building ETL pipelines.
Experience with SQL.
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Experience mentoring team members on best practices.
4+ years of data engineering experience.
Experience with big data technologies such as Hadoop, Hive, Spand ark, EMR.
Experience operating large data warehouses.

Experience
9-13 yrs