Lead Data Engineer

📋 Description

• Architect, build, and scale robust data pipelines and infrastructure supporting both AI products
• Design and maintain data ingestion, transformation, processing, and storage architectures for batch
• Develop scalable systems for vector search, retrieval, and machine-learning data workflows.
• Build and optimise data models, distributed processing systems, and large-scale query
• Establish frameworks for data reliability, quality, security, governance, monitoring, and
• Collaborate with AI and backend engineering teams to support model training, inference, and

🎯 Requirements

• 7+ years of professional experience, with significant experience in dedicated data engineering
• Strong experience designing and building scalable data pipelines and distributed data systems.
• Solid experience with relational databases, preferably PostgreSQL; experience with MySQL or
• Experience working with NoSQL databases and modern vector databases used in AI applications.
• Strong Python programming skills, including experience with data-processing libraries such as
• Demonstrated ability to make, communicate, and justify architectural decisions rather than simply

🎁 Benefits

• Remote-first working environment from locations across India.
• Opportunity to take significant ownership as the first senior data engineering hire.
• High-impact role working at the intersection of data engineering, AI, and intelligent automation.
• Direct collaboration with AI engineers, backend engineers, product teams, founders, and leadership.
• Opportunity to shape the data architecture, engineering standards, culture, and future team.
• Exposure to modern technologies including real-time data pipelines, vector databases