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Lead Data Platform Engineer

Experian
Hyderabad, Telangana, India
Hybrid

About this role

About the Role We are seeking a Lead Data Platform Engineer to act as a hands-on technical leader for our data platform engineering function.You will be #LI-hybrid based in Hyderabad and reporting to Director EngineeringYou will be responsible for designing, building scalable data platforms while driving engineering best practices across the team.You will help shape our AWS-native data ecosystem, mentor engineers, and ensure the delivery of high-quality, reliable data solutions. What You'll Do

  • Be a hands-on technical lead across data engineering workstreams, setting direction and standards
  • Design, build, and optimise data lake architectures using a data mesh model
  • Develop and maintain AWS-native data platforms using modern cloud services
  • Implement DevOps best practices, including Infrastructure-as-Code (IaC) using Terraform and CI/CD pipelines
  • Apply configuration-as-code principles consistently across all environments
  • Embed automated testing, monitoring, and data quality frameworks into the development lifecycle
  • Provide guidance, and mentoring to engineers within the team
  • Collaborate with cross-functional stakeholders to deliver robust and scalable data solutions
  • Troubleshoot and optimize data workflows to ensure performance, reliability, and scalability What We're Looking For
  • 8+ years of relevant experience in Data Platform engineering
  • Proven experience at Lead or Principal Engineer level within a large or enterprise environment
  • Extensive hands-on experience with AWS data services, including: Glue, Step Functions, Lake Formation, EventBridge, Lambda, Datazone, CloudWatch
  • Strong experience designing and building data pipelines and data lake solutions
  • Solid DevOps expertise, including: Terraform (Infrastructure-as-Code), CI/CD pipelines, Git and Jenkins
  • Working knowledge of AWS SageMaker Unified Studio
  • Advanced programming skills in Python
  • Experience with API integrations and configuration-as-code approaches
  • Investigate and reconcile complex workflows
  • Proven experience implementing automated testing frameworks within data engineering workflows
  • Nice to Have: Continuous improvement and Innovation; Experience working in agile delivery environments; Passion for mentoring and developing engineering talent Nice to Have
  • Continuous improvement and Innovation
  • Experience working in agile delivery environments
  • Passion for mentoring and developing engineering talent Compensation & Benefits
  • Hybrid remote/in-office role
  • Best-in-class family well-being benefits, enhanced medical benefits and paid time off

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