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Senior Data Engineering Lead

Experian


Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer
Posted: 2 September 2026 (2 hours ago)
Application Deadline: 30 November 2026
Vacancies: 1 Vacancy

Job Summary

We are looking for a senior engineering leader to define and deliver a modern cloud-based data platform that powers analytics AI and business decision-making across the organization.

This role is responsible for building scalable batch and real-time data pipelines establishing data governance and reliability standards and driving platform modernization on AWS.

The successful candidate will lead multidisciplinary engineering teams shape the data platform strategy and deliver secure high-performing solutions that improve data accessibility operational efficiency and business outcomes while enabling future AI-driven capabilities

What Youll Be Doing

  • This role is Hyderabad based and reporting to Director Engineering
  • You will lead the design and delivery of scalable batch and streaming data platforms that support analytics reporting and AI use cases.
  • Manage and mentor teams across Data Engineering Platform Engineering and DevOps while establishing engineering standards reusable frameworks and delivery roadmaps.
  • You will build reliable data pipelines with strong governance observability security and data quality practices to ensure trusted and compliant data products.
  • Drive cloud platform modernization using AWS services infrastructure automation CI/CD practices and event-driven architectures.
  • Partner with Product Architecture Governance and Business teams to prioritize initiatives manage delivery risks and align platform investments with business goals.

 


Qualifications :

What Were Looking For

  • 10 years of experience in Data Engineering Software Engineering or Platform Engineering including leadership responsibility for engineering teams.
  • Proven experience designing and operating large-scale batch and streaming data platforms using technologies such as Apache Spark Kafka Kinesis Flink or equivalent.
  • Strong expertise in AWS cloud services including data compute orchestration and infrastructure components.
  • Experience building modern data lake warehouse or lakehouse solutions using technologies such as Snowflake Databricks Redshift Athena Iceberg Delta Lake or similar platforms.
  • Hands-on experience with CI/CD Infrastructure as Code containerized platforms and engineering automation practices.
  • Experience implementing data governance observability security and compliance controls including data quality frameworks and regulated data management.

Additional Information :

Our uniqueness is that we celebrate yours. Experians people first inclusive and purpose driven culture is multi award-winning; Worlds 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.

Benefits/Perks:

Experian care for employees work life balance health safety and support of this endeavor we offer best-in-class family well-being benefits enhanced medical benefits and paid time off.

Recruitment Fraud Awareness - Experians 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 is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

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Remote Work :

No


Employment Type :

Full-time


About Company

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Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more

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