Integration Engineer
Role details
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Tech stack
Job description
The Senior Integration Engineer will design and build the data and API integration layer that powers a unified martech stack. This includes owning CDP activation pipelines, event streaming architecture, and vendor integration health across a complex ecosystem of marketing technology platforms. You will play a critical role in ensuring reliable, high-quality data flows between customer data platforms, activation channels, and analytics systems., Design and build CDP activation pipelines - including audience feeds, event streaming, and data quality checks between customer data sources and downstream marketing platforms (Nice-to-have) Own API integration architecture across vendor systems - define contracts, enforce SLAs, and build reliability patterns (circuit breakers, retry logic, dead letter queues) Implement and maintain event streaming infrastructure using Kafka, Azure Service Bus, or comparable message queue / pub-sub systems Build and maintain real-time data pipelines supporting audience delivery and experiment results into marketing data lakes Monitor end-to-end integration health across the martech vendor ecosystem - proactive telemetry, alerting, and incident response Partner with engineering and product teams to onboard new vendor integrations and manage the technical complexity of platform consolidation Document integration patterns, data contracts, and API standards for internal developer use
Requirements
5+ years of integration or backend engineering experience, preferably in martech or data platform contexts Strong API engineering skills - RESTful design, event-driven architecture, webhook/message queue patterns Hands-on experience with Kafka, Azure Service Bus, or similar event streaming/pub-sub platforms Familiarity with vendor integration patterns in martech ecosystems (ESPs, CDPs, tag management, attribution platforms) Cloud-native development experience - Azure preferred; containerization, infrastructure-as-code (Terraform) Strong understanding of data contracts, SLA monitoring, and observability practices
NICE TO HAVE Experience building CDP activation pipelines - Amperity, Segment, or comparable; audience feeds and real-time event streaming Experience with CDP-to-ESP data feed pipelines (e.g., Amperity to downstream activation platforms) Familiarity with Google Cloud Platform data lake architectures (BigQuery, Pub/Sub) Retail or e-commerce domain background Exposure to feature flag systems or experimentation tracking pipelines