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.
- Strong 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