Data Engineering Manager, Ring Agent Platforms at Amazon.com
Amazon.com · Madrid, Spain ·
- Employment
- Full time
- Category
- Data engineering
- Company size
- 1000+
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Leads a team of data engineers building and operating the data pipelines, models, and platform infrastructure behind Ring's analytics, science, and AI initiatives. The role emphasizes people management, cloud-native data platforms, and driving adoption of generative/agentic AI tooling to automate data engineering work.
Apply for Data Engineering Manager, Ring Agent Platforms at Amazon.com in Madrid, MD, ES. This Full time on site position offers great opportunities for career growth.
We are looking for a Manager of Data Engineering to lead a team of data engineers building and operating the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives.
You will own the delivery and operational health of the data platform, build and mentor a high-performing team, and drive the adoption of AI-assisted engineering practices across the group.
Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering tasks - pipeline generation, data quality enforcement, testing, and operational response.
You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on.
You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it.
The Agent Platform Organization spans data engineering, business intelligence, applied science, and agentic AI.
The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale.
Capacity is balanced across direct business support, strategic new development, and operational health.
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