Data Engineering Manager - Cloud Data Platform Lead
Toyota North America
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Benefits offered by this job
Job summary
Toyota North America is seeking a strategic and hands-on Manager of Data Engineering to lead the enterprise data acquisition and ingestion platform—powering analytics, AI, and data products. You will design cloud-native lakehouse solutions (AWS/Snowflake) and guide a 6+ person team to deliver scalable, governed data capabilities.
The ideal candidate has 10–15+ years in data engineering or platform leadership, experience with CDC, APIs, and streaming, and strong ability to align technical work
Qualifications
- 10–15+ years in data engineering or platform leadership.
- Hands-on experience with enterprise-scale data acquisition methods (CDC, APIs, file transfer, event streaming).
- Deep knowledge of cloud-based lake/lakehouse architectures (AWS, Redshift, Snowflake).
- Strong programming skills (Python/Java) and experience with microservices and APIs.
Responsibilities
- Lead the design and deployment of a modern data platform for ingestion and analytics.
- Build production-grade data pipelines and self-service tools.
- Architect cloud-native lakehouse solutions and multi-tenant capabilities.
- Collaborate with business, product, data architecture, and platform teams to govern data ecosystem.
- Define and champion data engineering best practices: modeling, contracts, lineage, governance.
- Lead and grow a high-performing team of engineers.
Skills
Education
Tools
Job description
Toyota North America is seeking a strategic and hands-on Manager of Data Engineering to lead the enterprise data acquisition and ingestion platform—powering analytics, AI, and data products. You will design cloud-native lakehouse solutions (AWS/Snowflake) and guide a 6+ person team to deliver scalable, governed data capabilities.
The ideal candidate has 10–15+ years in data engineering or platform leadership, experience with CDC, APIs, and streaming, and strong ability to align technical work
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