Amplitude is the leading AI analytics platform, helping thousands of customers build better products and digital experiences. The Data Connections team owns how data enters and leaves the platform—importing behavioral and customer data from cloud data warehouses such as Snowflake, Databricks, and BigQuery, and from cloud object storage like S3 and Azure Blob Storage, and pushing enriched event data back out to warehouses, object storage, streaming destinations, and downstream advertising and marketing platforms. This work involves batch and streaming pipelines moving billions of events per day, with credentials and configuration that must stay correct and secure, and latency and reliability targets that customers depend on. You will lead a team of around 10 engineers, reporting to the Head of Data Platform, and will be accountable for the roadmap, reliability, and the growth of the people on the team. The stack includes Java, Temporal, Kafka, Kubernetes, Terraform, DynamoDB, S3, and Snowflake, running on AWS and GCP. Responsibilities include setting the direction and roadmap for data import and export with clear priorities; leading, coaching, and growing a team; partnering with tech leads on architecture across ingestion, transformation, and delivery; owning reliability, SLOs, and cost efficiency for pipelines; expanding destinations and sources we support; collaborating with Product, Design, and other Data Platform teams to ship end-to-end solutions; and getting involved personally in significant customer onboardings and escalations. Skills and Experience: 2+ years leading

Amplitude is the leading AI analytics platform, helping thousands of customers build better products and digital experiences. The Data Connections team owns how data enters and leaves the platform—importing behavioral and customer data from cloud data warehouses such as Snowflake, Databricks, and BigQuery, and from cloud object storage like S3 and Azure Blob Storage, and pushing enriched event data back out to warehouses, object storage, streaming destinations, and downstream advertising and marketing platforms. This work involves batch and streaming pipelines moving billions of events per day, with credentials and configuration that must stay correct and secure, and latency and reliability targets that customers depend on. You will lead a team of around 10 engineers, reporting to the Head of Data Platform, and will be accountable for the roadmap, reliability, and the growth of the people on the team. The stack includes Java, Temporal, Kafka, Kubernetes, Terraform, DynamoDB, S3, and Snowflake, running on AWS and GCP. Responsibilities include setting the direction and roadmap for data import and export with clear priorities; leading, coaching, and growing a team; partnering with tech leads on architecture across ingestion, transformation, and delivery; owning reliability, SLOs, and cost efficiency for pipelines; expanding destinations and sources we support; collaborating with Product, Design, and other Data Platform teams to ship end-to-end solutions; and getting involved personally in significant customer onboardings and escalations. Skills and Experience: 2+ years leading