Job Description

Role Overview

As part of the ECS Technology team, you will provide technical leadership across multiple engineering teams, partnering with Product Owners, Engineering Managers, Engineers, Architects, and QA specialists. You will be responsible for driving secure, scalable, cloud-native data solutions, influencing architectural decisions, and ensuring alignment with Experian standards, governance, and strategic objectives.

This is a senior individual contributor role focused on technical excellence, innovation, platform reliability, compliance, and capability development across the data engineering domain.

Key Responsibilities

- Lead technical strategy, architecture, and engineering excellence across the data platform.
- Design and guide scalable, secure, and resilient cloud-native data solutions.
- Ensure compliance with Experian security, governance, and data standards.
- Drive measurable improvements using engineering metrics, reliability indicators, and operational insights.
- Champion DevOps, CI/CD, observability, automation, and platform best practices.
- Mentor and coach engineers and technical leads, strengthening technical capability across teams.
- Partner with Engineering Managers to identify and address capability and performance gaps.
- Influence technical roadmaps and support modernization, transformation, and innovation initiatives.




- Promote cross-functional collaboration and act as a trusted technical advisor for stakeholders.
- Stay current with industry trends and emerging technologies, driving continuous improvement and best practices.

Qualifications

Experience

- 14+ years of experience in Data Engineering, Software Engineering, Data Platform Engineering, or related disciplines within enterprise environments.
- Proven experience leading architecture, technical strategy, and engineering transformation across multiple teams or domains.
- Demonstrated success mentoring senior engineers and technical leaders.

Technical Expertise

- Strong expertise in cloud-native architectures on AWS and/or Azure.
- Experience building large-scale data platforms, pipelines, and distributed systems.
- Hands-on knowledge of up-to-date engineering technologies including Python, SQL, .NET Core, Node.js, and data processing frameworks.
- Experience with AWS services such as S3, Lambda, DynamoDB, SNS, SQS, Glue, EMR, Redshift, and Kinesis, or Azure equivalents including Data Factory, Synapse, Databricks, and Data Lake.
- Strong understanding of microservices, event-driven architectures, DevOps, CI/CD, observability, and reliability engineering.
- Experience using engineering metrics such as DORA, quality, and reliability metrics to drive continuous improvement.
- Strong knowledge of data governance, security, privacy, resilience, scalability, and compliance best practices.

📌 Senior Staff Software Engineer (Hyderabad)
🏢 Experian
📍 Hyderabad