Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 53.
From 7,839 similar postings that came down. Coming down is not always a hire.
Data Platforms Manager
Hyderabad, India
Actively hiring, first seen by us 5 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead strategy, engineering, and operations of enterprise data platforms
Drive platform modernization, automation, observability, and AI-enabled capabilities
Provide hands-on technical leadership across AWS EMR, Hadoop, Spark, NoSQL, and cloud platforms
Establish engineering standards, governance, reliability, performance, and security practices
Mentor engineers and foster a culture of innovation and continuous improvement
From the employer’s posting
Lead the strategy, engineering, and operations of enterprise data platforms
Drive platform modernization, automation, observability, and AI-enabled capabilities
Provide hands-on technical leadership across AWS EMR, Hadoop, Spark, NoSQL, and cloud-based platforms.
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
All qualificationsCore experience
- 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.
- 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.
Qualification wording
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.
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.
Education & alternatives
Qualifications - 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.
Benefits in the posting
Full benefits wording- 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
- Company Description
- 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.
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Leadership hiring is picking up
- Takes jobs down quickly
- 36% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- DynamoDB
- Elasticsearch
- Hadoop
- MongoDB
- NoSQL
- Spark
- Terraform
Where the posting names them
- 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 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Experian posted this job before?
Yes. We’ve followed 2 other Data Platforms Manager jobs there since June 2026. 2 came down, usually after about 42 days.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
- 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.
Qualifications
- 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.
Additional Information
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
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, India
You will report to VP. Workplace: #Hybrid Experian Careers - Creating a better tomorrow together
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.