Lead the strategy, engineering, and operations of enterprise data platforms, ensuring scalable, secure, and reliable services.
Drive platform modernization, automation, observability, and AI-enabled capabilities to improve efficiency and user experience.
Provide hands-on technical leadership across AWS EMR, Hadoop, Spark, NoSQL, and cloud-based platforms.
Establish engineering standards, governance, reliability, performance, security, and compliance practices.
10+ years of experience in Data Platform Engineering, Big Data, or Cloud Technologies, including 3+ years leading engineering teams.

- Solid expertise in AWS EMR, Hadoop, Apache Spark, NoSQL databases (Cassandra, MongoDB, DynamoDB, Elasticsearch, HBase), and distributed data platforms.
- Hands-on experience with Terraform, Jenkins, Python, Git, DevOps, CI/CD, and platform automation.
- Proven success building and operating highly available, scalable, and secure enterprise data platforms.
- Strong knowledge of monitoring, observability, performance tuning, capacity planning, and stakeholder management.
- Experience with GenAI, AI-enabled platforms, cloud transformation, vendor management, and data governance is advantageous.

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.





- 10+ years of experience in Data Platform Engineering, Big Data, Cloud Platforms, or related disciplines, including 3+ years leading engineering teams and delivering enterprise-scale solutions.
- Strong hands-on expertise with AWS EMR, Apache Spark, Hadoop ecosystem technologies, NoSQL databases (Cassandra, MongoDB, DynamoDB, Elasticsearch, HBase), and distributed data platforms.
- Proven experience with DevOps, CI/CD, Terraform, Jenkins, Git-based workflows, and Python, supporting highly available, scalable, and secure enterprise platforms.
- Strong knowledge of observability, monitoring, performance tuning, capacity planning, operational excellence, and stakeholder management.
- Experience with GenAI, AI-native tools, intelligent automation, AI-enabled data platforms, cloud modernization, global teams, vendor management, and data governance, security, and compliance frameworks.

If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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Inclusive paid leave
Medical insurance

📌 Data Manager - Hybrid Working (Secunderabad)
🏢 Experian
📍 Secunderabad