Job Description

What You'll Do
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.
Partner with architecture, security, infrastructure, and business teams to deliver resilient and cost-effective solutions.
Establish engineering standards, governance, reliability, performance, security, and compliance practices.
Mentor engineers and foster a culture of innovation, accountability, and continuous improvement.

What You'll Bring
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.
Solid 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.

📌 Data Platforms Manager Hyderabad
🏢 Experian
📍 Hyderabad