Engineering Manager, Data Connections

About this role

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 platform integrations

Our 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 ​M​edical, ​D​ental and ​V​ision insurance coverages, with 100% employer-paid premiums for employee Medical, ​Dental,​ ​​​​​​​​Vision on select plans

• 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually

• Flexible time off, ​p​aid holidays, and more

• Generous 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 more

• Excellent Parental benefits including​:​ 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support

• Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions

• Employee 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

Similar jobs

• Engineering Manager, Data — Cartesia · *HQ - San Francisco, CA
• Engineering Manager, Data — Doordashusa · San Francisco, CA; Sunnyvale, CA; Seattle, WA
• Engineering Manager, Data Systems — Koboldmetals · Remote
• Engineering Manager (Data) — Overstory · Remote
• Engineering Manager, Data Engineering Experience — Snowflake · US-WA-Bellevue
• Engineering Manager - Data Automation — Klaviyo · Boston, MA
• Engineering Manager, Data Foundations — Gitlab · Remote
• Engineering Manager, Data Cloud — Chainalysis-careers · Remote