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Adobe brand, Bangalore location, senior but broad data-platform skills attract many qualified applicants.
Core distributed data-platform skills transferable across industries, though adtech experience is a nice-to-have.
Mandatory 10+ years and specific distributed data, Spark/Kafka, NoSQL, cloud, and Java/Scala skills.
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Design and build scalable, distributed data systems and high-throughput pipelines processing over 10 billion events daily for Adobe Advertising.
Own key components of the core AdCloud platform with accountability for performance, scalability, reliability, and cost efficiency.
Collaborate across Product, Engineering, and Data Science teams to deliver robust, end-to-end real-time and batch data processing solutions.
10+ years of experience in designing and developing large-scale data-driven systems.
Strong experience with distributed data processing frameworks such as Apache Spark, Kafka, and Hadoop ecosystem.
Proficiency in programming languages like Java or Scala and solid understanding of data structures, algorithms, and system design.
Experience building scalable systems on cloud platforms like AWS, GCP, or Azure.
Experienced senior data platform engineer comfortable handling extreme data scale (10B+ events/day) and distributed systems architecture.
Strong technical focus on performance optimization, cost efficiency, and engineering excellence in production data infrastructure.
Operates effectively in cross-disciplinary teams linking engineering, product, and data science to deliver real-time and batch data solutions enabling AI-driven capabilities.