Own the architecture of a data product that makes AI-powered commerce measurable, trustworthy, and improvable for millions of sellers worldwide. Join SP-AI Data Products as a founding technical leader who will define how an entire organization observes, governs, and learns from every AI-driven interaction at scale, built entirely on AWS large-scale data processing infrastructure.

We're at an inflection point. AI agents are replacing traditional seller workflows, generating 7.5 million interactions annually across 50+ internal product teams, with thousands of Developers building on the ecosystem. Every one of these innovations creates a measurement obligation, and right now there's no unified infrastructure to fulfill it. You'll change that. You're joining a small team transforming from traditional reporting into a production data product organization, and this role determines what that product becomes. You'll design and build on AWS services including Kinesis for real-time streaming ingestion, EMR and Spark for large-scale distributed data processing, Glue for ETL orchestration,



Redshift and Athena for analytical workloads, S3 and Lake Formation for governed storage, and Lambda and Step Functions for event-driven pipeline automation.

What you'll own:
- Design and govern the canonical event schema: the unified measurement format that makes every AI interaction across every surface produce a comparable, correlated record. You define what gets measured and how.
- Own end-to-end data architecture across telemetry layers (user engagement, action execution, domain response), ensuring cross-layer correlation through session-level tracing
- Build and operate streaming and batch ingestion pipelines on AWS with production SLAs, serving real-time observability for leadership, risk teams, applied scientists, and product teams simultaneously
- Architect tenantized data products that enable 50+ teams to onboard once and receive self-serve metrics (adoption, quality, risk, impac

📌 Senior Data Engineer, Selling Partner Agentic Interfaces Data Products (Bengaluru)
🏢 Amazon
📍 Bengaluru