Teams at ARNVIND GROUP

Owns the end-to-end data lifecycle by designing scalable pipelines, analytical data models, real-time ingestion systems, and data quality frameworks supporting analytics, experimentation, and AI/ML. The role also advances data platform architecture, reliability, observability, CI/CD, and Infrastructure as Code while collaborating with engineering, product, ML, and business teams.

Design and lead enterprise-scale data and AI architectures for global clients. Develop prototypes and proof-of-value demonstrations, govern AI agents, integrate cloud platforms and external systems, support pre-sales, establish technical standards, and mentor teams. The role requires translating business needs into secure, scalable technical solutions while driving cloud data platform adoption, data governance, modeling, and AI-driven transformation.

Designs and optimizes security controls across systems, networks, and applications. Conducts vulnerability scans, penetration tests, forensic investigations, incident response, and disaster recovery. Advises clients and internal teams on security risks, emerging technologies, and AI. Maintains security documentation, collaborates across technical and non-technical teams, and drives initiatives that strengthen cybersecurity resilience and protect critical infrastructure.