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 Engineering

You 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.

Key Responsibilities

• Be a hands-on technical lead across data engineering workstreams, setting direction and standards
• You will 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

 

• 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

Desirable Attributes

• Continuous improvement and Innovation
• Experience working in agile delivery environments
• Passion for mentoring and developing engineering talent

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.

 

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

 

Benefits

 

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

This is a hybrid remote/in-office role.

 

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.

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