✦ Luna Orbit — Data & Analytics

Engineering Manager - Data Automation

at Klaviyo

📍 Boston, MA Onsite Posted March 18, 2026
Type Full-Time
Experience mid
Exp. Years 8+ years
Education Not specified
Category Data & Analytics

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.

  • Lead data automation teams
  • Build scalable data systems
  • Manage large-scale data pipelines
  • Optimize data workflows
  • Support real-time analytics

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.

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.

Designing and building data systemsLeading data automation teamsScaling analytics infrastructureManaging reliability and fault toleranceHandling large-scale dataBuilding end-to-end features
AI integrationData workflowsInfrastructure optimizationCloud-native systemsReal-time data processing
PythonKubernetesAWSTerraformClickhouseDynamoDBMySQLKafkaSparkFlinkAirflow
Designing and building data systemsleading data automation teamsscaling analytics infrastructuremanaging reliabilityhandling large-scale databuilding end-to-end features
PythonData AutomationData ProcessingKubernetesAWSTerraformClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowAWSTerraform
LeadershipProblem-solvingCollaborationCommunicationOwnershipInnovationTeam Management
Industry SaaS
Job Function Lead data automation and analytics infrastructure development
Role Subtype Data & Analytics
Tech Domains Python, Kubernetes, Amazon Web Services, Terraform, Clickhouse, DynamoDB, MySQL, Kafka, Spark, Flink, Airflow
data automationdata processingPythonKubernetesAWSTerraformClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowlarge-scale datafault-tolerant systemsdata infrastructurereal-time dataanalytics platformdata engineeringdata pipelines

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

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