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.
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 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, paid 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)
