About the role
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.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit
Experian Careers - Creating a better tomorrow together
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You will report to VP.
Workplace: #Hybrid
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Benefits and Perks:
Inclusive paid leave
People-first and inclusive workplace
Medical insurance
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here