Adobe—Sr. Computer Scientist (Data Platform Engineer)

Job description

Description: About the Team The Adobe Advertising Data Engineering team powers data platforms that process billions of events every day, enabling real-time decisioning, analytics, and machine learning at scale. We operate with a strong engineering-first mindset, focusing on building highly reliable, scalable, and cost-efficient data systems. We foster a collaborative and innovation-driven culture, building self-service data platforms that empower teams across Adobe Advertising to unlock the full value of data. The Opportunity Are you passionate about solving data challenges at massive scale? We are looking for a Senior Computer Scientist to help design and build next-generation data platforms within Adobe Advertising. In this role, you will work on distributed systems that handle high-throughput, low-latency data processing. You will collaborate closely with cross-functional teams to enable robust data infrastructure that powers critical business decisions, customer experiences, and AI-driven products. Impact You’ll Make You will play a key role in building the data platform that drives Adobe Advertising’s core systems. Your work will enable scalable, high-performance pipelines that process massive data volumes with reliability and efficiency. By contributing to architectural improvements and engineering excellence, you will help enhance system robustness, optimize infrastructure costs, and accelerate data-driven and AI-powered capabilities. Key Responsibilities - Design and build scalable, distributed data systems for real-time and batch processing - Develop high-throughput data pipelines processing 10B+ events per day - Contribute to and own key components in the technical design and implementation of core AdCloud platform components - Work with technologies such as Apache Spark, Kafka, Hadoop ecosystem, and modern data platforms - Ensure performance, scalability, reliability, and cost efficiency of data systems - Collaborate with Product, Engineering, and Data Science teams to deliver end-to-end solutions - Participate in design and code reviews to maintain high engineering standards - Continuously improve system robustness, scalability, and developer productivity Qualifications - 10+ years of experience in designing and developing large-scale data-driven systems - Strong experience with distributed data processing frameworks (Spark, Kafka, Hadoop, etc.) - Experience with NoSQL systems (HBase, Aerospike, Cassandra) and RDBMS - Strong programming skills in Java, Scala, or similar languages - Solid understanding of data structures, algorithms, and system design - Experience building scalable systems on cloud platforms (AWS/GCP/Azure) - Strong focus on performance optimization and cost efficiency - Excellent communication and collaboration skills Nice to Have - Experience in AdTech or high-scale event-driven systems - Exposure to data governance, data quality, and metadata systems - Experience supporting ML/AI data pipelines - Familiarity with modern data architectures (data lakes, lakehouse, etc.) - Contributions to open-source or technical communities 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. 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. Skills: apache spark, distributed data processing, kafka, hadoop ecosystem, nosql systems, java, hbase, aerospike, cassandra, rdbms, scala, cloud platforms, aws, gcp, azure, performance optimization, cost efficiency, data structures, algorithms, system design, technical design, collaboration, communication, adtech, event-driven systems, data governance, data quality, metadata systems, ml/ai data pipelines, data lakes, lakehouse, open-source contributions