Data Platforms Manager
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Location
In office (Hyderabad)
Experience
10+ years exp
First seen by Alion on Nov 12, 2026.
Overview
Company
Impact
Profile match
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life's big moments - from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers - we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can't.
Backed by Spectrum Equity
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.
- 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.
You will report to VP.
Workplace: #Hybrid
Skills
AWS EMR, Apache Spark, Hadoop, Spark
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