Sr. Computer Scientist (Data Platform Engineer)

Adobe | Software and technology

2 hours 58 minutes ago

On-site

Full Time

India

JOB LEVEL

P50

EMPLOYEE ROLE

Individual Contributor

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

Internal Opportunities

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4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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 applicable characteristics protected by law. Learn more.

Required Skills

aerospikealgorithmsapacheawsazurecassandradata_science/data_engineeringdistributed_systemsgcphadoophbasejavakafkanosqlperformance_optimizationrdbmsscalasystem_design

Required Languages

🇬🇧 English