Position Details
About this role
This role focuses on leading the development of data automation and analytics infrastructure at Klaviyo. The engineer will design scalable, fault-tolerant data systems supporting real-time insights and large data volumes.
Key Responsibilities
- Lead data automation teams
- Build scalable data systems
- Manage large-scale data pipelines
- Optimize data workflows
- Support real-time analytics
Technical Overview
The environment involves Python, Kubernetes, AWS, Terraform, and various data processing tools like Kafka, Spark, and Flink. The focus is on building reliable, scalable data pipelines and automation workflows.
Ideal Candidate
The ideal candidate is an experienced data engineer or data automation specialist with at least 8 years of experience in building and scaling analytics infrastructure. They are skilled in Python, Kubernetes, and cloud-native data systems, with a strong leadership ability to manage data teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience, No experience with large-scale data systems, Lack of leadership in data teams, Inability to handle fault-tolerant systems
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile