Lead Data Engineer

About the role

We are looking for a strong, hands-on, highly autonomous Lead Data Engineer to design, build, and operate the Service Layer platform that powers enterprise Quote-to-Cash (QTC), customer lifecycle, and finance integrations across strategic enterprise applications.

What you'll do

• Own end-to-end technical delivery of key initiatives, ensuring solutions are delivered with quality, scalability, security, and operational readiness
• Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and continuous improvement across the team
• Drive architecture and design decisions for event-driven integrations, canonical data models, orchestration frameworks, and platform capabilities
• Define and enforce engineering standards, secure-by-design principles, cloud best practices, data governance and non-functional requirements for resilience, scalability
• Design, develop, and operate real-time event-driven integration services using Golang and Python

What you need

• 10–18 years in data science & ai
• Python
• AWS
• Kafka
• Data modelling
• PostgreSQL
• CI/CD
• B.Sc or B.Tech or B.E. or BCA

Good to have

• CRM
• ERP
• DynamoDB
• IAM
• RabbitMQ
• NoSQL

What you get