ExperianData Platforms Manager
Experian is hiring a Data Platforms Manager in Hyderabad, India. Level rates it ; you can apply on Experian.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions AWS Emr, Hadoop and Spark among its tools and skills.
- Level classes it as a senior role.
- Experian has 390 other open roles on Level.
- Posted in the last few days.
AI in this role
Lead the strategy, engineering, and operations of enterprise data platforms while incorporating AI-enabled capabilities and distributed systems.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
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 @experian.com 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.com/careers.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
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
How we rate this
Data Platforms Manager at Experian rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where data platform engineering was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Data Platform Engineering, Big Data, DevOps, and CI/CD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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