Senior Data Engineering Lead

Overview

Senior Data Engineering Lead responsible for defining and delivering a modern cloud data platform on AWS for analytics, AI, and business decision-making.

What you'll do

• Design and deliver scalable batch and streaming data platforms for analytics, reporting, and AI use cases.
• Lead, mentor, and manage teams across Data Engineering, Platform Engineering, and DevOps.
• Build reliable data pipelines with governance, observability, security, and data quality practices.
• Drive cloud platform modernization on AWS using infrastructure automation, CI/CD, and event-driven architectures.
• Partner with Product, Architecture, Governance, and Business teams to prioritize initiatives and manage delivery risks.

What you'll need

• 10+ years of experience in Data Engineering, Software Engineering, or Platform Engineering, including leadership responsibility for engineering teams.
• Experience designing and operating large-scale batch and streaming data platforms (e.g., Apache Spark, Kafka, Kinesis, Flink).
• Strong AWS cloud expertise across data, compute, orchestration, and infrastructure components.
• Experience with data lake, warehouse, or lakehouse solutions (e.g., Snowflake, Databricks, Redshift, Athena, Iceberg, Delta Lake).
• 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.

Details

• Location: Hyderabad, India.
• Reporting to: Director Engineering.
• Work mode: Hybrid remote/in-office ("#LI-Onsite").