Own creating and maintaining the internal data infrastructure that powers Klaviyo’s business, focusing on infrastructure, pipelines, and security/compliance
Job Summary
Own creating and maintaining the internal data infrastructure that powers Klaviyo’s business, focusing on infrastructure, pipelines, and security/compliance.
Design, develop, and maintain scalable dbt models and pipelines, architect solutions for attribution models, event data pipelines, and analytics at scale, and lead performance optimization efforts across Snowflake and related data systems.
Mentor and coach junior and mid-level data engineers through code reviews and technical guidance, establish and enforce coding standards, testing practices, and CI/CD processes, and serve as technical lead for cross-functional data initiatives.
Matching Summary
Own creating and maintaining the internal data infrastructure that powers Klaviyo’s business, focusing on infrastructure, pipelines, and security/compliance.
Skills & Requirements
Must-have
dbt models and pipelines
SQL and Snowflake expertise
Python for data processing
data lakehouse solutions
Apache Iceberg on EMR
AI for workflow improvement
Nice-to-have
Spark/EMR performance optimization
Terraform for infrastructure
Airflow/MWAA orchestration
Docker and containerization
AI-driven workflow architecture
Marketing attribution modeling
Event data pipelines
Key Requirements
5+ years of data engineering experience
Demonstrated technical leadership
Expert-level proficiency in dbt
Deep expertise in SQL and Snowflake
Strong Python skills
Experience architecting data lakehouse solutions
Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR
Proven experience operating production systems
Demonstrated experience leveraging AI to improve personal and team workflows