> Markdown version of [/jobs/ext/2702675-engineering-manager-data-warehouse-and-integrations](https://www.wearedevelopers.com/jobs/ext/2702675-engineering-manager-data-warehouse-and-integrations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Data Warehouse and Integrations - **Company:** Amplitude, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $227,000.0 - $341,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Backup Devices, Batch Processing, BigQuery, Cloud Database, Cloud Storage, Customer Data Management, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Amazon DynamoDB, Systems Integration, Data Import/Export, Snowflake, Backend, Kubernetes, Low Latency, Apache Kafka, Terraform, Data Pipelines, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/engineering-manager-data-warehouse-and-integrations-amplitude-9636086 ## About the Role * 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 platform integrations ## Description Amplitude is only as useful as the data inside it. The Data Warehouse and Integrations 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., * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Building Systems that Last](https://www.wearedevelopers.com/videos/1389-building-systems-that-last) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)