Data Platforms Manager

Serasa Experian; Hyderabad; Híbrido; INR 6.000.000 - 9.000.000; Tempo integral

Benefícios oferecidos por esta vaga

Inclusive paid leave

People-first and inclusive workplace

Medical insurance

Resumo da vaga

Experian is seeking a Senior Data Platform Lead to orchestrate strategy, engineering, and operations of enterprise data platforms. You will drive modernization, automation, and AI-enabled capabilities across AWS EMR, Hadoop, Spark, and NoSQL ecosystems.

You will collaborate with architecture, security, and business teams to deliver scalable, secure platforms. A decade+ in data platforms and 3+ years leading teams are required, with a focus on reliability and governance.

Qualificações

• 10+ years in Data Platform Engineering, Big Data, or Cloud Technologies.
• 3+ years leading engineering teams delivering enterprise-scale solutions.
• Strong hands-on with AWS EMR, Hadoop, Spark, and NoSQL databases.
• Experience with DevOps, CI/CD, Terraform, Jenkins, and Python.
• Knowledge of observability, capacity planning, and governance.
• Experience with GenAI and AI-enabled data platforms is advantageous.

Responsabilidades

• Lead strategy, engineering, and operations of enterprise data platforms.
• Drive modernization, automation, and AI-enabled capabilities.
• Provide hands-on technical leadership across cloud platforms.
• Partner with architecture, security, infra, and business teams.
• Establish standards for reliability, performance, security, and compliance.
• Mentor engineers and foster innovation and accountability.

Conhecimentos

Leadership

Cloud platforms

Data platform engineering

Stakeholder management

Observability

Capacity planning

GenAI

Vendor management

Security & compliance

Collaboration

Formação

Bachelor's degree in Computer Science/IT/Engineering

Ferramentas

AWS EMR

Hadoop

Apache Spark

NoSQL databases

Terraform

Jenkins

Python

Git

Descrição da vaga

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.

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 Affiantative 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.

You will report to VP.

Workplace: #Hybrid

Benefits and Perks

• Inclusive paid leave
• People-first and inclusive workplace
• Medical insurance

Requirements

• Employee Status: Regular
• Role Type: Hybrid
• Department: Technology
• Schedule: Full Time