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Amplitude

Senior Data Engineer, Marketing & GTM

San Francisco, CA, United States
New York City, NY, United States

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

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Job details

Pay: 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
Experience: 5+ years of relevant data engineering experience, with demonstrated ownership of complex production pipelines and data models.
Posting language: English
Posted: Nov 12, 2026

Original job description

Amplitude is the leading AI analytics platform, helping over 5,200 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 http://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.

ABOUT THE ROLE

Join the engineering team that builds the data products, integrations, and AI-enabled tools the rest of Amplitude runs on. We partner closely with business teams, become experts in their problems, and build solutions that improve how they work.

This role will specifically support Marketing and Go-to-Market. You’ll partner with Marketing Operations, Revenue Operations, Sales, and Analytics to build reliable data pipelines, trusted business models, and reusable semantic and context layers. Your work will help teams understand campaign performance, connect marketing engagement to pipeline and revenue, prioritize accounts, and bring consistent business context into analytics and AI workflows.

We’re looking for a hands-on engineer who enjoys understanding how the business works and owning complex data projects from discovery through production support. You’ll combine strong data engineering fundamentals with curiosity, sound judgment, and a focus on delivering useful outcomes.

AS A SENIOR DATA ENGINEER, YOU WILL

Build and operate production data pipelines using Fivetran, dbt, and Snowflake, integrating CRM, marketing automation, advertising, product usage, and other business data. Develop custom API connectors when existing integrations don’t meet the need.
Create trusted Marketing and GTM data products for campaign performance, funnel conversion, attribution, account engagement, intent scoring, and pipeline analysis.
Build and maintain semantic layers that define shared business entities, relationships, dimensions, and metrics so dashboards, analysts, and AI tools use consistent definitions.
Develop context layers for AI-enabled analytics, capturing business terminology, metric descriptions, synonyms, approved joins, business rules, and verified queries that help tools interpret data accurately.
Partner directly with business stakeholders to understand workflows, clarify ambiguous requirements, validate assumptions, and translate business problems into practical technical solutions.
Own data correctness and reliability, including source reconciliation, automated testing, freshness monitoring, failure alerts, root-cause analysis, and recovery procedures.
Own delivery end to end, from design and incremental development through validation, deployment, documentation, and ongoing support. Balance delivery speed with maintainability, performance, and operating cost.
Raise the team’s engineering standards through thoughtful code and design reviews, reusable patterns, knowledge sharing, and mentoring. Contribute improvements to the team’s technical roadmap.

WHAT YOU’LL BRING TO THE ROLE

5+ years of relevant data engineering experience, with demonstrated ownership of complex production pipelines and data models.
Strong SQL skills and practical Python experience for integrations, automation, and data processing.
Hands-on experience with Fivetran and dbt, including ingestion configuration, incremental transformations, testing, documentation, and troubleshooting.
Production experience with Snowflake or Databricks, including query optimization, workload management, access controls, and cost-aware design.
Experience building semantic layers with governed metric definitions, explicit data grain, entity relationships, and reusable business logic.
Experience with Salesforce, Marketo, Google Ads, or similar CRM, marketing automation, and advertising platforms.
Experience building context layers that make business data understandable and usable by people and AI tools, including metadata, terminology, business rules, and validated examples.
Strong data modeling fundamentals, including dimensional modeling, historical snapshots, slowly changing dimensions, deduplication, and incremental processing.
Experience supporting Marketing or GTM data, with an understanding of how leads, contacts, accounts, campaigns, activities, and opportunities connect.
Production engineering practices using Git, code review, CI/CD, automated tests, observability, and safe deployment and recovery.
Comfortable using AI tools such as Cursor, Claude, and Codex in day-to-day engineering work to explore unfamiliar systems, write and review code, debug pipelines, and improve documentation - with sound judgment about validating outputs and protecting sensitive data.
The ability to shape project scope, explain tradeoffs, deliver value incrementally, and measure whether a solution improved the business.
Clear communication, curiosity about unfamiliar systems, and a collaborative approach to working with technical and nontechnical partners.

NICE TO HAVE

Experience with marketing attribution, campaign influence, lifecycle marketing, account scoring, or warehouse-to-business-system activation.
Familiarity with Snowflake semantic views, Cortex Analyst, dbt Semantic Layer, or comparable semantic modeling tools.
Experience exposing governed data through APIs, MCP servers, or AI agents, and evaluating the accuracy of AI-generated answers.
Experience using AI development tools to accelerate engineering work while maintaining code quality and data correctness.

EQUAL EMPLOYMENT OPPORTUNITY AND DIVERSITY STATEMENT

We are committed to equal employment opportunity in both principle and as a matter of policy. We will recruit, hire, train, promote, compensate and provide benefits to all applicants and employees without regard to ancestry, sex, race, color, ethnicity, national origin, gender, age, religion, religious creed, mental and/or physical disability, medical condition, military and/or veteran’s status, genetic information, marital status, sexual orientation, gender identity and/or expression, or any other basis protected by applicable federal, state and local laws. This policy applies to all recruiting, hiring, promotions, upgrades, layoffs, compensation, benefits, terminations and all other privileges, terms and conditions of employment. The firm complies fully with all federal, state and local equal employment opportunity laws.

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 https://www.g2.com/categories/product-analytics/enterprise 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.

By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice https://amplitude.com/job-applicant-privacy-notice.

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More about this job

Skills

Sales
Business model
Data engineering
dbt
Snowflake
Manage quantitative data
Test automation
Root cause analysis
Incremental development
Documentation
Coaching
Data models
SQL
Python
Process data
Troubleshooting
Databricks
Salesforce
Marketo
Google Ads
Data modelling
Git
CI/CD
Communication skills

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Work requirements

Jobs in the United States