Data Architect
Location: Bangalore
Employment Type: Full-time
Overview
We are seeking an experienced Data Architect to design and manage mission critical on-premise data infrastructure. This role focuses on building high-performance, low-latency data systems that support real-time analytical.
Key Responsibilities
- Design and architect on-premise data infrastructure for real-time and batch data processing
- Develop data models, schemas, and database designs optimized for low-latency access
- Optimize system performance for large-scale, high-frequency datasets
- Architect and oversee ETL and data pipelines with strong data consistency guarantees
- Ensure system reliability, security, backup, and disaster recovery
- Lead performance tuning, capacity planning, and infrastructure optimization
- Design and manage GPU-based infrastructure for large-scale model training and inference
- Collaborate with cross-functional teams on architecture, deployment, and production support
Required Skills & Experience
- 5+ years of experience in Data Architecture or Systems Engineering
- Strong proficiency in C++ and Python/Java
- Advanced knowledge of relational databases and query optimization
- Deep understanding of Linux systems, memory management, and concurrency
- Hands-on experience with on-premise infrastructure and distributed systems
- Experience managing GPU clusters and high-performance compute environments
- Strong system design skills for scalable, low-latency architectures
Preferred Qualifications
- Experience with financial or real-time data systems
- Familiarity with GPU acceleration, CUDA, or distributed ML infrastructure
- Exposure to high throughput streaming or messaging systems
