Engineering Manager, Data Connections

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is only as useful as the data inside it. The Data Connections team owns how that data gets in and out — importing behavioral and customer data from cloud data warehouses like Snowflake, Databricks, and BigQuery, 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. That means batch and streaming pipelines moving billions of events a day, connections that have to keep working across dozens of customer-controlled systems, credentials and configuration that have to stay correct and secure, and latency and reliability targets that customers build their own pipelines on top of. Recent work includes launching new warehouse export destinations, migrating our import pipelines onto a durable workflow engine, building low-latency streaming export, and supporting cross-region and cross-cloud customer storage. You'll lead a team of around 10 engineers building this, reporting to our Head of Data Platform, and you'll be the person accountable for the roadmap, the reliability, and the growth of the people on it. The stack is Java, Temporal, Kafka, Kubernetes, Terraform, DynamoDB, S3, and Snowflake, running on AWS and GCP. Responsibilities Set the direction and roadmap for data import and export, with clear priorities and tradeoffs you can explain to engineers, PMs, and customers Lead, coach, and grow a team of around 10 engineers — hiring, career development, feedback, and performance Partner with your tech leads on architecture across ingestion, transformation, and delivery, without becoming the bottleneck for every decision Own reliability, SLOs, and cost efficiency for pipelines customers depend on daily Expand the set of destinations and sources we support, and make each new integration cheaper to build than the last Work directly with Product, Design, and other Data Platform teams to ship end-to-end Get involved personally in significant customer onboardings and escalations Skills and Experience 2+ years leading engineers, as a manager or as a tech lead 6+ years building backend, data, or infrastructure systems Experience with data integration or pipeline work — ETL/ELT, data warehouses, streaming, or batch processing at scale Comfortable with modern cloud infrastructure (Kubernetes, Kafka, S3 or equivalent object storage, Terraform) A track record of improving reliability, latency, or cost for systems in production Clear communication with engineers and non-engineers alike, especially when something has gone wrong Nice to have, but not required: Experience with Snowflake, Databricks, BigQuery, or similar warehouses — as a builder or a heavy user Experience with durable workflow engines such as Temporal Experience with advertising or marketing platf…