Senior Data Engineer, Selling Partner Agentic Interfaces Data Products

About the role

SP-AI Data Products is a small, high-autonomy team that builds the data infrastructure powering AI-driven commerce for millions of Amazon Selling Partners worldwide. We exist so that product teams can ship with confidence, risk teams can detect abuse in real time, scientists can train better models, and leadership can see exactly how the business is performing without waiting for someone to compile a report.

What you'll do

• Design and govern the canonical event schema: the unified measurement format that makes every AI interaction across every surface produce a comparable
• Own end-to-end data architecture across telemetry layers (user engagement, action execution, domain response)
• Build and operate streaming and batch ingestion pipelines on AWS with production SLAs, serving real-time observability for leadership, risk teams, applied scientists
• Architect tenantized data products that enable 50+ teams to onboard once and receive self-serve metrics (adoption, quality, risk
• Drive data engineering standards across the organization: schema governance, naming conventions, data quality, operational excellence. You set the bar others build to

What you need

• 7–13 yrs of experience
• Python
• AWS
• ETL
• Redshift
• Data modelling
• Java
• Any graduate

Good to have

• SQL
• Data warehousing
• Kafka
• Data structures
• Warehouse operations
• Bash