Unified Data Platform Architect
eBay (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 50–85 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Provide technical leadership and define architecture for large-scale data platforms and distributed systems spanning multiple teams.
- Design and build scalable, reliable backend services and data processing architectures using Java, Python, Apache Spark, Flink, Airflow, and Kubernetes.
- Drive platform improvements in reliability, performance, and developer productivity while influencing long-term technical strategy and architectural standards.
Minimum Requirements
- 10+ years of software engineering experience with large-scale distributed systems or data platforms.
- Deep expertise in Java and strong hands-on experience with Apache Spark, Flink, Hadoop ecosystem (HDFS, Hive, YARN), and Python.
- Significant production experience with Kubernetes, containers, distributed systems concepts, and workflow orchestration (Apache Airflow or similar).
- Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Senior individual contributor with proven success leading architecture and technical decisions across multiple teams or platform initiatives.
- Strong background in designing petabyte-scale data platforms including batch and real-time processing architectures.
- Experience with multi-tenant platform design, data governance, observability, and modern data lake/lakehouse technologies (e.g., Apache Iceberg).