Engineering Manager, Data Warehouse and Integrations

Data Warehouse And Integrations Team LeadAmplitude 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.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.About The Role & TeamAmplitude 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.ResponsibilitiesSet the direction and roadmap for data import and export, with clear priorities and tradeoffs you can explain to engineers, PMs, and customersLead, coach, and grow a team of around 10 engineers — hiring, career development, feedback, and performancePartner with your tech leads on architecture across ingestion, transformation, and delivery, without becoming the bottleneck for every decisionOwn reliability, SLOs, and cost efficiency for pipelines customers depend on dailyExpand the set of destinations and sources we support, and make each new integration cheaper to build than the lastWork directly with Product, Design, and other Data Platform teams to ship end-to-endGet involved personally in significant customer onboardings and escalationsSkills and Experience2+ years leading engineers, as a manager or as a tech lead6+ years building backend, data, or infrastructure systemsExperience with data integration or pipeline work — ETL/ELT, data warehouses, streaming, or batch processing at scaleComfortable with modern cloud infrastructure (Kubernetes, Kafka, S3 or equivalent object storage, Terraform)A track record of improving reliability, latency, or cost for systems in productionClear communication with engineers and non-engineers alike, especially when something has gone wrongNice to have, but not required:Experience with Snowflake, Databricks, BigQuery, or similar warehouses — as a builder or a heavy userExperience with durable workflow engines such as TemporalExperience with advertising or marketing platform integrationsOur Values:At Amplitude, our values guide how we show up for one another and for our customers:Humility: We operate from a place of empathy and openness, seeking to understand many points of view.Ownership: We take the initiative to solve problems that drive our shared company success.Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others.Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.Some of our benefit programs include:Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annuallyFlexible time off, paid holidays, and moreGenerous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much moreExcellent Parental benefits including 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care supportMental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessionsEmployee Stock Purchase Program (ESPP)Other fun facts about Amplitude:Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.We invest in our people. We offer mentorship programs, management training, and wellness initiatives.We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.