We are looking for a hands-on technology leader to take ownership of the architecture and engineering of a fast-moving, early-stage data platform, with a explicit path to CTO.
This is for someone who has led engineers but still wants to build. You will inherit an existing product, codebase and distributed engineering team, improve what works, simplify what does not, and create the technical foundation for scale.
What you will own
Data and platform architecture
Data pipelines, ingestion and transformation
Databricks and modern data platforms
Python-based backend development
Data modelling and APIs
Cloud infrastructure and distributed systems
CI/CD, automated testing and deployment
Reliability, observability and security
Enterprise integrations
Technical leadership of engineers across multiple countries
Technical conversations with customers across the US, Europe and other markets
You will remain hands-on, including architecture, code reviews, debugging, prototyping and development when required.
What we are looking for
Strong experience with several of:
Python
Databricks




Data engineering and pipelines
Data modelling
Azure or another major cloud platform
Backend and distributed systems
APIs and enterprise integration
CI/CD and infrastructure
Production reliability
iOS, Android development, web development
Voice, video animation, Avatars
Leading distributed engineering teams
You should be comfortable moving quickly with incomplete information, making decisions without unnecessary process, and changing direction when better evidence emerges.
Strong opinions are useful. Ego is not.
How we build
We operate like a startup.
That means:
Small teams
High ownership
Fast decisions
Frequent shipping
Direct customer exposure
Minimal bureaucracy
Pragmatic architecture
Continuous learning
We use modern development tools including Claude Code, Cursor and other AI-assisted engineering tools. You should be comfortable using them aggressively while maintaining engineering quality.
We are

📌 Technical Lead, CTO track (Bengaluru)
🏢 Data Don
📍 Bengaluru