senior Data Engineer ic · Posted Mar 16, 2026
AI Summary
Senior Data Engineer developing Adobe Experience Platform's big data infrastructure and lakehouse solutions. Requires expertise in Spark, Delta Lake, Scala/Java, and distributed systems optimization. Focus on building high-scale, production-ready data architectures supporting petabyte-level data processing and real-time personalization.

The Opportunity

Adobe Experience Platform is the Adobe solution that helps customers to centralize and standardize their customer data and content across the enterprise powering 360-degree customer profiles, enabling data science and data governance to drive real-time personalized experiences. With Experience Platform, enterprises will be able to use completely coordinated marketing and analytics solutions for driving relevant customer interactions.

Our engineering team is responsible for building the Adobe Experience Platform. We help thousands of customers collect, handle and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, glean insights and run algorithms, so they can deliver delightful experiences in real-time, every time.

This position is for a key contributor who will be a part in developing modern data architectures, developing Big Data and Lakehouse solutions, and implementing those solutions through to production.

This role blends data infrastructure, AI workflows, and multi-cloud technologies to drive real-time customer intelligence. If you enjoy solving complex challenges and working in a collaborative, fast-paced environment, we want to hear from you!

What you'll Do

  • Be involved in all the product development and delivery stages, as part as an agile engineering team.

  • Research on various technologies useful for the project and keep in touch with the evolution of the industry

  • Work in an environment that supports individual growth and continuous learning.

  • Contribute to and promote good software engineering practices across the team

  • Provide guidance in architecture, design & code reviews.

  • Possibility to contribute to Open Source projects

  • Perform on-call activities, on follow the Sun rotation with the rest of the team

What you need to succeed

  • A strong passion for computer science and data engineering, with a focus on delivering high-scale data processing solutions in a production environment

  • Proven expertise in big data processing field: Spark, Delta Lake (or equivalent Lakehouse technologies).

  • Good understanding of table formats, schema evolution, and advanced data modeling.

  • Hands-on experience with performance optimization, large-scale cluster tuning, and efficient big data architectures.

  • Solid programming skills in Scala and/or Java, with the ability to engineer robust, maintainable pipelines.

  • Validated ability to research and become proficient in new emergent technologies, with a emphasis on leveraging AI coding agents to enhance productivity and streamline collaboration throughout the entire software lifecycle process.

  • Validated experience implementing observability best practices—monitoring, logging, and tracing—across distributed data systems.

  • A problem-solving mindset, capable of diagnosing root causes and delivering solutions for complex data challenges.

  • Commitment to the highest levels of quality, puts focus both in testing and code development

  • Very good written and verbal communication skills

  • Very good English language knowledge, written and spoken.

Bonus skills

  • Experience with Big Data Lakehouse technologies, i.e. Hadoop/HBase/MapReduce/Iceberg/DeltaLake/Kafka, Databricks it's a plus.

  • Experience in working with infrastructure, i.e. cloud providers, containers, Kubernetes, VM/Bare metal deployments, is a plus.

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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