AI-Native Sr Data Platform Engineer - Customer Journey Analytics 

The Opportunity From the moment you wake up until you go to bed, think about the media you consume and the adverts you see. Consider the apps you use, the websites you browse, and nearly all your online shopping during the day. Almost every one of these experiences involves an Adobe product. Customer Journey Analytics is a premier solution that helps marketers grasp customer behavior and make more informed decisions with precise, timely, and insightful data. Our clients use it to uncover the most valuable customer segments and channel these insights to manage an entire business through customer intelligence. What We Are Looking For The role calls for an AI ‑ Native Sr Data Platform Engineer to advance the data and service foundations behind Adobe Analytics and Customer Journey Analytics. This is not a pure AI role and not a traditional big ‑ data role. We’re seeking engineers who recognize that AI systems depend heavily on the quality of the platforms supporting them. You likely have: 10 years of hands ‑ on experience building and operating distributed systems, backend services, or large ‑ scale data platforms. Strong experience with event streaming and messaging systems (Kafka, Kafka Streams, Flink, Kinesis, or similar). Experience building data pipelines using Spark, Databricks, Flink, or comparable technologies. Solid understanding of operating production systems: Kubernetes, CI/CD, monitoring, alerting, and incident response. Experience crafting and operating scalable REST services. Strong engineering fundamentals (Java preferred; Python familiarity a plus). A pragmatic approach: you care about correctness, performance, reliability, and cost — not just features. AI ‑ Related Expectations (Important) You do not need qualifications as an AI researcher. You do need to: Be comfortable integrating AI/ML capabilities into production systems. Think critically about observability, evaluation, and failure modes for AI ‑ assisted features. Care about responsible AI principles (privacy, transparency, safety) when shipping real user ‑ facing functionality. AI here is embedded within the system, not a nice-to-have. Nice to Have Scala experience. Experience with Jenkins, Argo, or similar CI/CD tooling. Strong observability background (Prometheus, Grafana, Splunk, Fluentbit). Experience operating systems during high ‑ traffic or event ‑ driven spikes. Prior exposure to AI ‑ assisted features, LLM APIs, or AI ‑ powered services in production. Familiarity with monitoring AI/ML systems (telemetry, drift, performance signals). Why This Role Is Different You’ll work on a stable, widely used product, not a greenfield experiment. You’ll help define how AI fits into large ‑ scale analytics systems responsibly. You’ll operate real systems, with real customers, real traffic, and real consequences. You’ll influence platform direction, not just implement tickets. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive b ... (truncated, view full listing at source)