senior data engineering Data Engineer ic 9+ yrs · Posted Mar 16, 2026
AI Summary
Design and build Java-based distributed backend services and event-driven data pipelines for Adobe's Real-Time Customer Data Platform. Requires 9+ years backend engineering experience with strong expertise in Java, microservices, distributed systems, and Kafka-based architectures. Own services through full lifecycle from design to production operations.

Adobe Real-Time Customer Data Platform (RTCDP) enables enterprises to unify customer data and activate it in real time across digital experiences.
The RTCDP Collaboration team builds the systems that allow organizations to securely share and activate data across companies while maintaining strong privacy, governance, and performance standards.
The team builds services responsible for secure data sharing, real-time data processing, and orchestration across enterprise data platforms.
As a Senior Backend Engineer, you will design and build the distributed services that power this capability — including Java-based backend systems, event-driven pipelines, and cloud-native platform services.

What You’ll Work On

  • Design and build Java-based backend services and microservices

  • Develop event-driven systems and data pipelines using technologies such as Kafka

  • Build and evolve workflow orchestration services coordinating cross-system processes

  • Design reliable APIs and backend services used by multiple Adobe products

  • Contribute to architecture and system design decisions

  • Improve system reliability, observability, and performance

  • Own services through the full lifecycle — from design and implementation to production operations

  • Collaborate with engineers and product teams across multiple regions


Technology Stack
Examples of technologies used across the platform include:

  • Java / JVM ecosystem

  • Kafka and event-driven architectures

  • Snowflake and modern cloud data platforms

  • Workflow orchestration

  • Kubernetes and containerized services

  • Cloud infrastructure (AWS and Azure)

  • Observability tools such as Prometheus, Grafana, and Splunk


What We’re Looking For

  • 9+ years of backend engineering experience

  • Strong expertise in Java and microservices architectures

  • Experience designing and operating distributed systems

  • Experience with event-driven architectures (Kafka or similar technologies)

  • Experience building data processing pipelines

  • Experience working with cloud-native environments

  • Strong understanding of system design, reliability, and performance


Nice to Have

  • Experience with Snowflake or modern cloud data warehouses

  • Experience with workflow orchestration systems (Temporal or similar)

  • Background in distributed data platforms

  • Experience contributing to architecture decisions or mentoring engineers

  • Demonstrated impact in mentoring senior engineers and influencing architectural direction.

  • Practical experience using AI tools and agentic workflows to enhance engineering productivity.


Why Engineers Join This Team

  • Work on core platform services within Adobe Experience Platform

  • Build systems enabling secure enterprise data collaboration

  • Solve distributed systems and data platform challenges

  • Collaborate with experienced engineers across Adobe’s global engineering teams

This role is for engineers who want to understand not only how systems work — but why they matter.

In RTCDP Collaboration, you won’t just move data.

You will help enterprises connect, collaborate, and unlock value from their data in ways that directly impact their business success.

If that challenge excites you — let’s talk.

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 benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. 

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

 

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